@conference{MasSchJan19,
title = {Selecting causal brain features with a single conditional independence test per feature},
author = {Mastakouri, A. and Sch{\"o}lkopf, B. and Janzing, D.},
booktitle = {Advances in Neural Information Processing Systems 32},
month = dec,
year = {2019},
month_numeric = {12}
}
@poster{KueMeyLooSch19,
title = {Semi-supervised learning, causality, and the conditional cluster assumption},
author = {von K{\"u}gelgen, J. and Mey, A. and Loog, M. and Sch{\"o}lkopf, B.},
booktitle = {NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making},
month = dec,
year = {2019},
url = {http://tripods.cis.cornell.edu/neurips19_causalml/},
month_numeric = {12}
}
@poster{KueRubSchWel19,
title = {Optimal experimental design via Bayesian optimization: active causal structure learning for Gaussian process networks},
author = {von K{\"u}gelgen, J. and Rubenstein, P. and Sch{\"o}lkopf, B. and Weller, A.},
booktitle = {NeurIPS 2019 Workshop “Do the right thing”: machine learning and causal inference for improved decision making},
month = dec,
year = {2019},
url = {http://tripods.cis.cornell.edu/neurips19_causalml/},
month_numeric = {12}
}
@conference{Ozdenizcietal19,
title = {Neural Signatures of Motor Skill in the Resting Brain},
author = {Ozdenizci, O. and Meyer, T. and Wichmann, F. and Peters, J. and Sch{\"o}lkopf, B. and Cetin, M. and Grosse-Wentrup, M.},
booktitle = {Proceedings of the IEEE International Conference on Systems, Man and Cybernetics (SMC 2019)},
month = oct,
year = {2019},
month_numeric = {10}
}
@article{GebKilHarSch19,
title = {Convolutional neural networks: A magic bullet for gravitational-wave detection?},
author = {Gebhard, T. and Kilbertus, N. and Harry, I. and Sch{\"o}lkopf, B.},
journal = {Physical Review D},
volume = {100},
number = {6},
pages = {063015},
publisher = {American Physical Society},
month = sep,
year = {2019},
url = {https://link.aps.org/doi/10.1103/PhysRevD.100.063015},
month_numeric = {9}
}
@article{BabSch19,
title = {Data scarcity, robustness and extreme multi-label classification},
author = {Babbar, R. and Sch{\"o}lkopf, B.},
journal = {Machine Learning},
volume = {108},
number = {8},
pages = {1329--1351},
month = sep,
year = {2019},
note = {Special Issue of the ECML PKDD 2019 Journal Track},
month_numeric = {9}
}
@conference{MasSchGro19,
title = {Beta Power May Mediate the Effect of Gamma-TACS on Motor Performance},
author = {Mastakouri, A.-A. and Sch{\"o}lkopf, B. and Grosse-Wentrup, M.},
booktitle = {Engineering in Medicine and Biology Conference (EMBC)},
month = jul,
year = {2019},
month_numeric = {7}
}
@conference{Geigeretal19,
title = {Coordinating Users of Shared Facilities via Data-driven Predictive Assistants and Game Theory},
author = {Geiger, P. and Besserve, M. and Winkelmann, J. and Proissl, C. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {49},
editors = {Amir Globerson and Ricardo Silva},
publisher = {{{AUAI} Press}},
month = jul,
year = {2019},
url = {http://auai.org/uai2019/proceedings/papers/49.pdf},
month_numeric = {7}
}
@conference{Kilbertusetal19,
title = {The Sensitivity of Counterfactual Fairness to Unmeasured Confounding},
author = {Kilbertus, N. and Ball, P. J. and Kusner, M. J. and Weller, A. and Silva, R.},
booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {213},
editors = {Amir Globerson and Ricardo Silva},
publisher = {{AUAI} Press},
month = jul,
year = {2019},
url = {http://auai.org/uai2019/proceedings/papers/213.pdf},
month_numeric = {7}
}
@conference{GreRubMehLocSch19,
title = {The Incomplete Rosetta Stone problem: Identifiability results for Multi-view Nonlinear {ICA}},
author = {Gresele*, L. and Rubenstein*, P. K. and Mehrjou, A. and Locatello, F. and Sch{\"{o}}lkopf, B.},
booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {53},
editors = {Amir Globerson and Ricardo Silva},
publisher = {{AUAI} Press},
month = jul,
year = {2019},
note = {*equal contribution},
url = {http://auai.org/uai2019/proceedings/papers/53.pdf},
month_numeric = {7}
}
@conference{Peharzetal19,
title = {Random Sum-Product Networks: {A} Simple and Effective Approach to Probabilistic Deep Learning},
author = {Peharz, R. and Vergari, A. and Stelzner, K. and Molina, A. and Shao, X. and Trapp, M. and Kersting, K. and Ghahramani, Z.},
booktitle = {Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI)},
pages = {124},
editors = {Amir Globerson and Ricardo Silva},
publisher = {{AUAI} Press},
month = jul,
year = {2019},
url = {http://auai.org/uai2019/proceedings/papers/124.pdf},
month_numeric = {7}
}
@conference{Jitkrittumetal19,
title = {Kernel Mean Matching for Content Addressability of GANs},
author = {Jitkrittum*, W. and Sangkloy*, P. and Gondal, M. W. and Raj, A. and Hays, J. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {3140--3151},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
note = {*equal contribution},
url = {http://proceedings.mlr.press/v97/jitkrittum19a.html},
month_numeric = {6}
}
@conference{Locatelloetal19,
title = {Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations},
author = {Locatello, F. and Bauer, S. and Lucic, M. and Raetsch, G. and Gelly, S. and Sch{\"o}lkopf, B. and Bachem, O.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {4114--4124},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/locatello19a.html},
month_numeric = {6}
}
@inproceedings{zhangbilinear2018,
title = {Local Temporal Bilinear Pooling for Fine-grained Action Parsing},
author = {Zhang, Yan and Tang, Siyu and Muandet, Krikamol and Jarvers, Christian and Neumann, Heiko},
booktitle = {Proceedings IEEE Conf. on Computer Vision and Pattern Recognition (CVPR)},
month = jun,
year = {2019},
url = {https://arxiv.org/abs/1812.01922},
month_numeric = {6}
}
@conference{Jitkrittumetal19b,
title = {Generate Semantically Similar Images with Kernel Mean Matching},
author = {Jitkrittum*, W. and Sangkloy*, P. and Gondal, M. W. and Raj, A. and Hays, J. and Sch{\"o}lkopf, B.},
booktitle = {6th Workshop Women in Computer Vision (WiCV) (oral presentation)},
month = jun,
year = {2019},
note = {*equal contribution},
month_numeric = {6}
}
@conference{AkrPajPetNeu19,
title = {Projections for Approximate Policy Iteration Algorithms},
author = {Akrour, R. and Pajarinen, J. and Peters, J. and Neumann, G.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {181--190},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/akrour19a.html},
month_numeric = {6}
}
@conference{BecPetSma19,
title = {Switching Linear Dynamics for Variational Bayes Filtering},
author = {Becker-Ehmck, P. and Peters, J. and van der Smagt, P.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {553--562},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/becker-ehmck19a.html},
month_numeric = {6}
}
@conference{SutMilSchBau19,
title = {Robustly Disentangled Causal Mechanisms: Validating Deep Representations for Interventional Robustness},
author = {Suter, R. and Miladinovic, D. and Sch{\"o}lkopf, B. and Bauer, S.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {6056--6065},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/suter19a.html},
month_numeric = {6}
}
@conference{SimonGabrieletal19,
title = {First-Order Adversarial Vulnerability of Neural Networks and Input Dimension},
author = {},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {5809--5817},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/simon-gabriel19a.html},
month_numeric = {6}
}
@inproceedings{IalWilHenRas19,
title = {Overcoming Mean-Field Approximations in Recurrent {G}aussian Process Models},
author = {Ialongo, A. D. and Van Der Wilk, M. and Hensman, J. and Rasmussen, C. E.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {2931--2940},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
month = jun,
year = {2019},
url = {http://proceedings.mlr.press/v97/ialongo19a.html},
month_numeric = {6}
}
@conference{Gordonetal19,
title = {Meta learning variational inference for prediction},
author = {Gordon, J. and Bronskill, J. and Bauer, M. and Nowozin, S. and Turner, R.},
booktitle = {7th International Conference on Learning Representations (ICLR)},
month = may,
year = {2019},
url = {https://openreview.net/pdf?id=HkxStoC5F7},
month_numeric = {5}
}
@conference{LutRitPet19,
title = {Deep Lagrangian Networks: Using Physics as Model Prior for Deep Learning},
author = {Lutter, M. and Ritter, C. and Peters, J.},
booktitle = {7th International Conference on Learning Representations (ICLR)},
month = may,
year = {2019},
url = {https://openreview.net/pdf?id=BklHpjCqKm},
month_numeric = {5}
}
@conference{SchBalHen19,
title = {DeepOBS: A Deep Learning Optimizer Benchmark Suite},
author = {Schneider, F. and Balles, L. and Hennig, P.},
booktitle = {7th International Conference on Learning Representations (ICLR)},
month = may,
year = {2019},
url = {https://openreview.net/pdf?id=rJg6ssC5Y7},
month_numeric = {5}
}
@conference{Miladinovicetal19,
title = {Disentangled State Space Models: Unsupervised Learning of Dynamics across Heterogeneous Environments},
author = {Miladinovi{\'c}*, D. and Gondal*, M. W. and Sch{\"o}lkopf, B. and Buhmann, J. M. and Bauer, S.},
booktitle = {Deep Generative Models for Highly Structured Data Workshop at ICLR},
month = may,
year = {2019},
note = {*equal contribution},
url = {https://openreview.net/pdf?id=HklaEUUtON},
month_numeric = {5}
}
@conference{Fortuinetal19,
title = {SOM-VAE: Interpretable Discrete Representation Learning on Time Series},
author = {Fortuin, V. and H{\"u}ser, M. and Locatello, F. and Strathmann, H. and R{\"a}tsch, G.},
booktitle = {7th International Conference on Learning Representations (ICLR)},
month = may,
year = {2019},
url = {https://openreview.net/pdf?id=rygjcsR9Y7},
month_numeric = {5}
}
@conference{BauMni18,
title = {Resampled Priors for Variational Autoencoders},
author = {Bauer, M. and Mnih, A.},
booktitle = {22nd International Conference on Artificial Intelligence and Statistics},
month = apr,
year = {2019},
month_numeric = {4}
}
@conference{KugMeyLoo19,
title = {Semi-Generative Modelling: Covariate-Shift Adaptation with Cause and Effect Features},
author = {von K{\"u}gelgen, J. and Mey, A. and Loog, M.},
booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {89},
pages = {1361--1369},
editors = {Kamalika Chaudhuri and Masashi Sugiyama},
publisher = {PMLR},
month = apr,
year = {2019},
url = {http://proceedings.mlr.press/v89/},
month_numeric = {4}
}
@conference{MroSerRaj19,
title = {Sobolev Descent},
author = {Mroueh, Y. and Sercu, T. and Raj, A.},
booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {89},
pages = {2976--2985},
editors = {Kamalika Chaudhuri and Masashi Sugiyama},
publisher = {PMLR},
month = apr,
year = {2019},
url = {http://proceedings.mlr.press/v89/},
month_numeric = {4}
}
@conference{ArvHauHenSch19,
title = {Fast and Robust Shortest Paths on Manifolds Learned from Data},
author = {Arvanitidis, G. and Hauberg, S. and Hennig, P. and Schober, M.},
booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {89},
pages = {1506--1515},
editors = {Kamalika Chaudhuri and Masashi Sugiyama},
publisher = {PMLR},
month = apr,
year = {2019},
url = {http://proceedings.mlr.press/v89/},
month_numeric = {4}
}
@conference{deroos2019active,
title = {Active Probabilistic Inference on Matrices for Pre-Conditioning in Stochastic Optimization},
author = {de Roos, F. and Hennig, P.},
booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {89},
pages = {1448--1457},
editors = {Kamalika Chaudhuri and Masashi Sugiyama},
publisher = {PMLR},
month = apr,
year = {2019},
url = {https://arxiv.org/abs/1902.07557},
month_numeric = {4}
}
@conference{Wenketal19,
title = {Fast Gaussian Process Based Gradient Matching for Parameter Identification in Systems of Nonlinear ODEs},
author = {Wenk, P. and Gotovos, A. and Bauer, S. and Gorbach, N. and Krause, A. and Buhmann, J. M.},
booktitle = {Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics (AISTATS)},
volume = {89},
pages = {1351--1360},
editors = {Kamalika Chaudhuri and Masashi Sugiyama},
publisher = {PMLR},
month = apr,
year = {2019},
url = {http://proceedings.mlr.press/v89/},
month_numeric = {4}
}
@phdthesis{Rojas-Carulla19,
title = {Learning Transferable Representations},
author = {Rojas-Carulla, M.},
school = {University of Cambridge, UK},
year = {2019}
}
@phdthesis{Gu19,
title = {Sample-efficient deep reinforcement learning for continuous control},
author = {Gu, S.},
school = {University of Cambridge, UK},
year = {2019}
}
@misc{RajGreBesSchBau19,
title = {Orthogonal Structure Search for Efficient Causal Discovery from Observational Data},
author = {Raj, A. and Gresele, L. and Besserve, M. and Sch{\"o}lkopf, B. and Bauer, S.},
year = {2019}
}
@misc{Stimperetal19,
title = {Multidimensional Contrast Limited Adaptive Histogram Equalization},
author = {Stimper, V. and Bauer, S. and Ernstorfer, R. and Sch{\"o}lkopf, B. and Xian, R. P.},
year = {2019}
}
@article{Aghaeifaretal19,
title = {A 32-channel multi-coil setup optimized for human brain shimming at 9.4T},
author = {Aghaeifar, A. and Zhou, J. and Heule, R. and Tabibian, B. and Sch{\"o}lkopf, B. and Jia, F. and Zaitsev, M. and Scheffler, K.},
journal = {Magnetic Resonance in Medicine},
year = {2019},
note = {(Early View)}
}
@misc{Limetal19,
title = {More Powerful Selective Kernel Tests for Feature Selection },
author = {Lim, J. N. and Yamada, M. and Jitkrittum, W. and Terada, Y. and Matsui, S. and Shimodaira, H.},
year = {2019}
}
@article{Tabibianetal18,
title = {Enhancing Human Learning via Spaced Repetition Optimization},
author = {Tabibian, B. and Upadhyay, U. and De, A. and Zarezade, A. and Sch{\"o}lkopf, B. and Gomez Rodriguez, M.},
journal = {Proceedings of the National Academy of Sciences},
year = {2019},
note = {PNAS published ahead of print January 22, 2019}
}
@phdthesis{Scibior19,
title = {Formally justified and modular Bayesian inference for probabilistic programs},
author = {\'{S}cibior*, A.},
school = {University of Cambridge, UK},
year = {2019}
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@conference{MehJitSchMua19,
title = {Witnessing Adversarial Training in Reproducing Kernel Hilbert Spaces},
author = {Mehrjou, A. and Jitkrittum, W. and Sch{\"o}lkopf, B. and Muandet, K.},
year = {2019}
}
@mastersthesis{Xu19,
title = {Spatial Filtering based on Riemannian Manifold for Brain-Computer Interfacing},
author = {Xu, J.},
school = {Technical University of Munich, Germany},
year = {2019}
}
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title = {Learning to Control Highly Accelerated Ballistic Movements on Muscular Robots},
author = {B{\"u}chler, Dieter and Calandra, Roberto and Peters, Jan},
year = {2019}
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title = {{AR}e{S} and {M}a{RS} Adversarial and {MMD}-Minimizing Regression for {SDE}s},
author = {Abbati*, G. and Wenk*, P. and Osborne, M. A. and Krause, A. and Sch{\"o}lkopf, B. and Bauer, S.},
booktitle = {Proceedings of the 36th International Conference on Machine Learning (ICML)},
volume = {97},
pages = {1--10},
series = {Proceedings of Machine Learning Research},
editors = {Chaudhuri, Kamalika and Salakhutdinov, Ruslan},
publisher = {PMLR},
year = {2019},
note = {*equal contribution},
url = {http://proceedings.mlr.press/v97/abbati19a.html}
}
@phdthesis{Weichwald19,
title = {Pragmatism and Variable Transformations in Causal Modelling},
author = {Weichwald, S.},
school = {ETH Zurich},
year = {2019}
}
@poster{MedSchWic19,
title = {Perception of temporal dependencies in autoregressive motion},
author = {Meding, K. and Sch{\"o}lkopf, B. and Wichmann, F. A.},
year = {2019}
}
@misc{ParJit19,
title = {ABCDP: Approximate Bayesian Computation Meets Differential Privacy },
author = {Park, M. and Jitkrittum, W.},
year = {2019}
}
@article{Rungeetal19,
title = {Inferring causation from time series with perspectives in Earth system sciences},
author = {Runge, J. and Bathiany, S. and Bollt, E. and Camps-Valls, G. and Coumou, D. and Deyle, E. and Glymour, C. andKretschmer, M. and Mahecha, M.D. and van Nes, E.H. and Peters, J. and Quax, R. and Reichstein, M. and Scheffer, M. Sch{\"o}lkopf, B. and Spirtes, P. and Sugihara, G. and Sun, J. and Zhang, Ka. and Zscheischler, J.},
journal = {Nature Communications},
year = {2019}
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@conference{LimYamSchJit19,
title = {Kernel Stein Tests for Multiple Model Comparison},
author = {Lim, J. N. and Yamada, M. and Sch{\"o}lkopf, B. and Jitkrittum, W.},
booktitle = {Advances in Neural Information Processing Systems 32},
year = {2019}
}
@conference{Hohmannetal19,
title = {MYND: A Platform for Large-scale Neuroscientific Studies},
author = {Hohmann, M. R. and Hackl, M. and Wirth, B. and Zaman, T. and Enficiaud, R. and Grosse-Wentrup, M. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 2019 Conference on Human Factors in Computing Systems (CHI)},
year = {2019}
}
@conference{Kanagawaetal19,
title = {A Kernel Stein Test for Comparing Latent Variable Models},
author = {Kanagawa, H. and Jitkrittum, W. and Mackey, L. and Fukumizu, K and Gretton, A.},
year = {2019}
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@poster{BruMedSchWic19,
title = {Phenomenal Causality and Sensory Realism},
author = {Bruijns, S. A. and Meding, K. and Sch{\"o}lkopf, B. and Wichmann, F. A.},
year = {2019}
}
@article{GomNemSchPet19,
title = {Reliable Real-Time Ball Tracking for Robot Table Tennis},
author = {Gomez-Gonzalez, S. and Nemmour, Y. and Sch{\"o}lkopf, B. and Peters, J.},
journal = {Robotics},
volume = {8},
number = {4},
pages = {90},
year = {2019},
url = {https://www.mdpi.com/2218-6581/8/4/90}
}
@conference{Ghoshetal19,
title = {From Variational to Deterministic Autoencoders},
author = {Ghosh*, P. and Sajjadi*, M. S. M. and Vergari, A. and Black, M. J. and Sch{\"o}lkopf, B.},
year = {2019},
note = {*equal contribution}
}
@article{KocMaePet18b,
title = {Optimizing the Execution of Dynamic Robot Movements With Learning Control},
author = {Koc, O. and Maeda, G. and Peters, J.},
journal = {IEEE Transactions on Robotics},
pages = {1--16},
year = {2019},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8705679}
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title = {Learning to Serve: An Experimental Study for a New Learning From Demonstrations Framework},
author = {Koc, O. and Peters, J.},
journal = {IEEE Robotics and Automation Letters},
volume = {4},
number = {2},
pages = {1784--1791},
year = {2019},
url = {https://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=8630019}
}
@conference{LiuKanJitChe19,
title = {Fisher Efficient Inference of Intractable Models},
author = {Liu, S. and Kanamori, T. and Jitkrittum, W. and Chen, Y.},
booktitle = {Advances in Neural Information Processing Systems 32},
year = {2019}
}
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title = {Eigendecompositions of Transfer Operators in Reproducing Kernel Hilbert Spaces},
author = {Klus, S. and Schuster, I. and Muandet, K.},
journal = {Journal of Nonlinear Science},
year = {2019},
note = {First Online: 21 August 2019}
}
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title = {Seeing the Arrow of Time},
author = {Pickup, L.C. and Zheng, P. and Donglai, W. and YiChang, S. and Changshui, Z. and Zisserman, A. and Sch{\"o}lkopf, B. and Freeman, W.T.},
booktitle = {Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on},
pages = {2043--2050},
publisher = {{IEEE}},
month = jun,
year = {2014},
month_numeric = {6}
}
@inproceedings{hennig:aistats:2014,
title = {Probabilistic Solutions to Differential Equations and their Application to Riemannian Statistics},
author = {Hennig, Philipp and Hauberg, S{o}ren},
booktitle = {Proceedings of the 17th International Conference on Artificial Intelligence and Statistics},
volume = {33},
pages = {347-355},
series = {JMLR: Workshop and Conference Proceedings},
editors = { S Kaski and J Corander},
publisher = {Microtome Publishing},
address = {Brookline, MA},
month = apr,
year = {2014},
url = {http://jmlr.org/proceedings/papers/v33/hennig14.pdf},
month_numeric = {4}
}
@patent{SchHirHarSch14,
title = {Method and device for blind correction of optical aberrations in a digital image},
author = {Schuler, C. and Hirsch, M. and Harmeling, S. and Sch{\"o}lkopf, B.},
howpublished = {International Patent Application, No. PCT/EP2012/068868},
month = apr,
year = {2014},
month_numeric = {4}
}
@inproceedings{HermannSSK2014,
title = {A Visual Analytics Approach to Study Anatomic Covariation},
author = {Hermann, M. and Schunke, AC. and Schultz, T. and Klein, R.},
booktitle = {Proceedings of IEEE Pacific Visualization 2014},
pages = {161--168},
month = mar,
year = {2014},
month_numeric = {3}
}
@article{GerberSHGSS2014,
title = {Juggling revisited — A voxel based morphometry study with expert jugglers},
author = {Gerber, P. and Schlaffke, L. and Heba, S. and Greenlee, MW. and Schultz, T. and Schmidt-Wilcke, T.},
journal = {NeuroImage},
volume = {95},
pages = {320--325},
year = {2014}
}
@article{BenMarHalHiletal14,
title = {Assessing attention and cognitive function in completely locked-in state with event-related brain potentials and epidural electrocorticography},
author = {Bensch, M. and Martens, S. and Halder, S. and Hill, J. and Nijboer, F. and Ramos, A. and Birbaumer, N. and Bodgan, M. and Kotchoubey, B. and Rosenstiel, W. and Sch{\"o}lkopf, B. and Gharabaghi, A.},
journal = {Journal of Neural Engineering},
volume = {11},
number = {2},
pages = {026006},
year = {2014}
}
@article{PetBuh14,
title = {Identifiability of {G}aussian Structural Equation Models with Equal Error Variances},
author = {Peters, J. and B{\"u}hlman, P.},
journal = {Biometrika},
volume = {101},
number = {1},
pages = {219--228},
year = {2014}
}
@poster{RamLogBes14,
title = {Dynamical source analysis of hippocampal sharp-wave ripple episodes},
author = {Ramirez-Villegas, J. F. and Logothetis, N. K. and Besserve, M.},
year = {2014}
}
@article{FruWicMac2014,
title = {Quantifying the effect of intertrial dependence on perceptual decisions},
author = {Fr{\"u}nd, I. and Wichmann, FA. and Macke, JH.},
journal = {Journal of Vision},
volume = {14},
number = {7},
pages = {1-16},
year = {2014},
url = {http://www.journalofvision.org/content/14/7/9}
}
@article{Altobellietal2014,
title = {Two numerical models designed to reproduce Saturn ring temperatures as measured by Cassini-CIRS},
author = {Altobelli, N. and Lopez-Paz, D. and Pilorz, S. and Spilker, lJ. and Morishima, R. and Brooks, S. and Leyrat, C. and Deau, E. and Edgington, S. and Flandes, A.},
journal = {Icarus},
volume = {238},
number = {0},
pages = {205 - 220},
year = {2014},
url = {http://www.sciencedirect.com/science/article/pii/S0019103514002231}
}
@book{KoberP2014,
title = {Learning Motor Skills: From Algorithms to Robot Experiments},
author = {Kober, J. and Peters, J.},
volume = {97},
pages = {191},
series = {Springer Tracts in Advanced Robotics},
publisher = {Springer},
year = {2014}
}
@inproceedings{SugiyamaAGKB2014,
title = {Multi-Task Feature Selection on Multiple Networks via Maximum Flows},
author = {Sugiyama, M. and Azencott, C-A. and Grimm, D. and Kawahara, Y. and Borgwardt, KM.},
booktitle = {Proceedings of the 2014 SIAM International Conference on Data Mining },
pages = {199-207},
year = {2014}
}
@talk{LopezPaz2014,
title = {The Randomized Dependence Coefficient (UC Berkeley, MSKCC, MIT, Harvard, 2013)},
author = {Lopez-Paz, D.},
year = {2014}
}
@inproceedings{GomezRodriguezGS2014,
title = {Quantifying Information Overload in Social Media and its Impact on Social Contagions},
author = {Gomez Rodriguez, M. and Gummadi, K. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the Eighth International Conference on Weblogs and Social Media},
pages = {170-179},
editors = {E. Adar, P. Resnick, M. De Choudhury, B. Hogan, and A. Oh},
publisher = {AAAI Press},
year = {2014}
}
@inproceedings{DaneshmandGSS2014,
title = {Estimating Diffusion Network Structures: Recovery Conditions, Sample Complexity & Soft-thresholding Algorithm},
author = {Daneshmand, H. and Gomez Rodriguez, M. and Song, L. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 31st International Conference on Machine Learning, W\&CP 32 (1)},
pages = {793-801},
editors = {Eric P. Xing and Tony Jebara},
publisher = {JMLR},
year = {2014}
}
@inproceedings{BenAmorNKKP2014,
title = {Interaction Primitives for Human-Robot Cooperation Tasks},
author = {Ben Amor, H. and Neumann, G. and Kamthe, S. and Kroemer, O. and Peters, J.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {2831--2837},
publisher = {IEEE},
year = {2014}
}
@inproceedings{KroemervNP2014,
title = {Learning to Predict Phases of Manipulation Tasks as Hidden States},
author = {Kroemer, O. and van Hoof, H. and Neumann, G. and Peters, J.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {4009--4014},
publisher = {IEEE},
year = {2014}
}
@inproceedings{WiensSSS2014,
title = {Visualizing Uncertainty in HARDI Tractography Using Superquadric Streamtubes},
author = {Wiens, V. and Schlaffke, L. and Schmidt-Wilcke, T. and Schultz, T.},
booktitle = {Eurographics Conference on Visualization, Short Papers},
editors = {Elmqvist, N. and Hlawitschka, M. and Kennedy, J.},
year = {2014},
url = {http://diglib.eg.org/bitstream/handle/10.2312/eurovisshort.20141154.037-041/037-041.pdf?sequence=1}
}
@inproceedings{DoranMZS2014,
title = {A Permutation-Based Kernel Conditional Independence Test},
author = {Doran, G. and Muandet, K. and Zhang, K. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence (UAI2014)},
pages = {132--141},
editors = {Nevin L. Zhang and Jin Tian},
publisher = {AUAI Press Corvallis},
address = {Oregon},
year = {2014}
}
@inproceedings{ArgyriouD2014,
title = {A unifying view of representer theorems},
author = {Argyriou, A. and Dinuzzo, F.},
booktitle = {Proceedings of the 31th International Conference on Machine Learning},
volume = {32},
pages = {748--756},
editors = {Xing, E. P. and Jebera, T.},
year = {2014}
}
@inproceedings{CherianS2014,
title = {Riemannian Sparse Coding for Positive Definite Matrices },
author = {Cherian, A. and Sra, S.},
booktitle = {13th European Conference on Computer Vision},
volume = {LNCS 8691},
pages = {299-314},
editors = { Fleet, D., Pajdla, T., Schiele, B., and Tuytelaars, T.},
publisher = {Springer},
year = {2014}
}
@inproceedings{SchoberDH2014,
title = {Probabilistic {ODE} Solvers with Runge-Kutta Means},
author = {Schober, M. and Duvenaud, D. and Hennig, P.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {739-747},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5451-probabilistic-ode-solvers-with-runge-kutta-means.pdf}
}
@inproceedings{KohlerSSHJR2014,
title = {Mask-Specific Inpainting with Deep Neural Networks},
author = {K{\"o}hler, R. and Schuler, C. and Sch{\"o}lkopf, B. and Harmeling, S.},
booktitle = {Pattern Recognition (GCPR 2014)},
pages = {523-534},
editors = {X Jiang, J Hornegger, and R Koch},
publisher = {Springer},
year = {2014},
note = {Lecture Notes in Computer Science}
}
@book{SchultzNVOP2014,
title = {Computational Diffusion MRI and Brain Connectivity},
author = {Schultz, T. and Nedjati-Gilani, G. and Venkataraman, A. and O'Donnell, L. and Panagiotaki, E.},
pages = {255},
series = {Mathematics and Visualization},
publisher = {Springer},
year = {2014}
}
@article{BuhPetErn14,
title = {{CAM}: Causal Additive Models, high-dimensional order search and penalized regression},
author = {{B{\"u}hlmann}, P and Peters, J. and Ernest, J.},
journal = {Annals of Statistics},
volume = {42},
number = {6},
pages = {2526-2556},
year = {2014}
}
@talk{BesSchLog14,
title = {Unsupervised identification of neural events in local field potentials},
author = {Besserve, M. and Sch{\"o}lkopf, B. and Logothetis, N. K.},
year = {2014}
}
@mastersthesis{Shajarisales14,
title = {A Novel Causal Inference Method for Time Series},
author = {Shajarisales, N.},
institution = {Eberhard Karls Universit{\"a}t T{\"u}bingen, Germany},
school = {Eberhard Karls Universit{\"a}t T{\"u}bingen, Germany},
year = {2014}
}
@article{DannNP2013,
title = {Policy Evaluation with Temporal Differences: A Survey and Comparison},
author = {Dann, C. and Neumann, G. and Peters, J.},
journal = {Journal of Machine Learning Research},
volume = {15},
pages = {809-883},
year = {2014}
}
@article{GomezRodriguezLBS2014,
title = {Uncovering the Structure and Temporal Dynamics of Information Propagation},
author = {Gomez Rodriguez, M. and Leskovec, J. and Balduzzi, D. and Sch{\"o}lkopf, B.},
journal = {Network Science},
volume = {2},
number = {1},
pages = {26-65},
year = {2014}
}
@article{ChenZCS2014,
title = {Causal discovery via reproducing kernel Hilbert space embeddings},
author = {Chen, Z. and Zhang, K. and Chan, L. and Sch{\"o}lkopf, B.},
journal = {Neural Computation},
volume = {26},
number = {7},
pages = {1484-1517},
year = {2014}
}
@inproceedings{LopezPazSSGS2014,
title = {Randomized Nonlinear Component Analysis},
author = {Lopez-Paz, D. and Sra, S. and Smola, A. and Ghahramani, Z. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 31st International Conference on Machine Learning, W\&CP 32 (1)},
pages = {1359-1367},
editors = {Eric P. Xing and Tony Jebara},
publisher = {JMLR},
year = {2014}
}
@inproceedings{WeichwaldSBG2014,
title = {Causal and Anti-Causal Learning in Pattern Recognition for Neuroimaging},
author = {Weichwald, S. and Sch{\"o}lkopf, B. and Ball, T. and Grosse-Wentrup, M.},
booktitle = {4th International Workshop on Pattern Recognition in Neuroimaging (PRNI)},
publisher = {IEEE },
year = {2014}
}
@inproceedings{CalandraGSPD2014,
title = {Bayesian Gait Optimization for Bipedal Locomotion},
author = {Calandra, R. and Gopalan, N. and Seyfarth, A. and Peters, J. and Deisenroth, MP.},
booktitle = {Proceedings of the 8th International Conference on Learning and Intelligent Optimization },
volume = {LNCS 8426},
pages = {274--290},
series = {Lecture Notes in Computer Science},
editors = {Pardalos, PM., Resende, MGC., Vogiatzis, C., and Walteros, JL.},
publisher = {Springer},
year = {2014}
}
@inproceedings{LioutikovKPM2014,
title = {Learning Manipulation by Sequencing Motor Primitives with a Two-Armed Robot},
author = {Lioutikov, R. and Kroemer, O. and Peters, J. and Maeda, GH.},
booktitle = {Proceedings of the 13th International Conference on Intelligent Autonomous Systems},
volume = {302},
pages = {1601--1611},
series = {Advances in Intelligent Systems and Computing},
editors = {Menegatti, E., Michael, N., Berns, K., Yamaguchi, H.},
publisher = {Springer},
year = {2014}
}
@article{ZscheischlerMSHRBCCEHIJKLLMPPRSTVWWYZ2014,
title = {Impact of Large-Scale Climate Extremes on Biospheric Carbon Fluxes: An Intercomparison Based on MsTMIP Data},
author = {Zscheischler, J. and Michalak, AM. and Schwalm, MD. and Mahecha, MD. and Huntzinger, DN. and Reichstein, M. and Berthier, G. and Ciais, P. and Cook, RB. and El-Masri, B. and Huang, M. and Ito, A. and Jain, A. and King, A. and Lei, H. and Lu, C. and Mao, J. and Peng, S. and Poulter, B. and Ricciuto, D. and Shi, X. and Tao, B. and Tian, H. and Viovy, N. and Wang, W. and Wei, Y. and Yang, J. and Zeng, N.},
journal = {Global Biogeochemical Cycles},
year = {2014}
}
@article{GrosseWentrupS2014,
title = {A Brain-Computer Interface Based on Self-Regulation of Gamma-Oscillations in the Superior Parietal Cortex},
author = {Grosse-Wentrup, M. and Sch{\"o}lkopf, B.},
journal = {Journal of Neural Engineering},
volume = {11},
number = {5},
pages = {056015},
year = {2014}
}
@inproceedings{MuandetSS2014,
title = {Kernel Mean Estimation via Spectral Filtering},
author = {Muandet, K. and Sriperumbudur, B. and Sch{\"o}lkopf, B.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {1--9},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5239-kernel-mean-estimation-via-spectral-filtering.pdf}
}
@inproceedings{FarajtabarDGVZS2014,
title = {Shaping Social Activity by Incentivizing Users},
author = {Farajtabar, M. and Du, N. and Gomez Rodriguez, M. and Valera, I. and Zha, H. and Song, L.},
booktitle = {Advances in Neural Information Processing Systems 27},
editors = {Ghahramani, Z., Welling, M., Cortes, C., Lawrence, ND., and Weinberger, KQ.},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5365-shaping-social-activity-by-incentivizing-users}
}
@inproceedings{KpotufeSJST2014,
title = {Consistency of Causal Inference under the Additive Noise Model},
author = {Kpotufe, S. and Sgouritsa, E. and Janzing, D. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 31st International Conference on Machine Learning, W\&CP 32 (1)},
pages = {478-495},
editors = {Eric P. Xing and Tony Jebara},
publisher = {JMLR},
year = {2014}
}
@article{BabbarMPGA2014,
title = {On power law distributions in large-scale taxonomies},
author = {Babbar, R. and Metzig, C. and Partalas, I. and Gaussier, E. and Amini, M-R.},
journal = {SIGKDD Explorations, Special Issue on Big Data},
volume = {16},
number = {1},
pages = {47-56},
year = {2014}
}
@talk{Besserve2014,
title = {Quantifying statistical dependency},
author = {Besserve, M.},
year = {2014}
}
@article{MeyerPZSG2013,
title = {Predicting Motor Learning Performance from Electroencephalographic Data},
author = {Meyer, T. and Peters, J. and Zander, TO. and Sch{\"o}lkopf, B. and Grosse-Wentrup, M.},
journal = {Journal of NeuroEngineering and Rehabilitation},
volume = {11:24},
year = {2014}
}
@inproceedings{GarnettOH2013,
title = {Active Learning of Linear Embeddings for Gaussian Processes},
author = {Garnett, R. and Osborne, M. and Hennig, P.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
pages = {230-239},
editors = {NL Zhang and J Tian},
publisher = {AUAI Press },
address = {Corvallis, Oregon},
year = {2014},
note = {another link: http://arxiv.org/abs/1310.6740}
}
@article{BenAmorSHP2013,
title = {Special issue on autonomous grasping and manipulation},
author = {Ben Amor, H. and Saxena, A. and Hudson, N. and Peters, J.},
journal = {Autonomous Robots},
volume = {36},
number = {1-2},
pages = {1-3},
year = {2014}
}
@article{ProbstWMSKMDSPI2014,
title = {Evaluation of Positron Emission Tomographic Tracers for Imaging of Papillomavirus-Induced Tumors in Rabbits},
author = {Probst, S. and Wiehr, S. and Mantlik, F. and Schmidt, H. and Kolb, A. and M{\"u}nch, P. and Delcuratolo, M. and Stubenrauch, F. and Pichler, BJ. and Iftner, T.},
journal = {Molecular Imaging},
volume = {13},
number = {1},
pages = {1536-0121},
year = {2014}
}
@inproceedings{WeichwaldMSBG2014,
title = {Decoding Index Finger Position from EEG Using Random Forests},
author = {Weichwald, S. and Meyer, T. and Sch{\"o}lkopf, B. and Ball, T. and Grosse-Wentrup, M.},
booktitle = {4th International Workshop on Cognitive Information Processing (CIP)},
publisher = {IEEE},
year = {2014}
}
@inproceedings{CalandraSPD2014,
title = {An Experimental Comparison of Bayesian Optimization for Bipedal Locomotion},
author = {Calandra, R. and Seyfarth, A. and Peters, J. and Deisenroth, MP.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {1951--1958},
publisher = {IEEE},
year = {2014}
}
@inproceedings{DeisenrothEPF2014,
title = {Multi-Task Policy Search for Robotics},
author = {Deisenroth, MP. and Englert, P. and Peters, J. and Fox, D.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {3876--3881},
publisher = {IEEE},
year = {2014}
}
@inproceedings{LioutikovPNP2014,
title = {Sample-Based Information-Theoretic Stochastic Optimal Control},
author = {Lioutikov, R. and Paraschos, A. and Peters, J. and Neumann, G.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {3896--3902},
publisher = {IEEE},
year = {2014}
}
@article{ZscheischlerRHRTM2014,
title = {Extreme events in gross primary production: a characterization across continents},
author = {Zscheischler, J. and Reichstein, M. and Harmeling, S. and Rammig, A. and Tomelleri, E. and Mahecha, MD.},
journal = {Biogeosciences},
volume = {11},
pages = {2909-2924},
year = {2014}
}
@poster{BabayevaLKGNGK2014,
title = {FID-guided retrospective motion correction based on autofocusing},
author = {Babayeva, M. and Loktyushin, A. and Kober, T. and Granziera, C. and Nickisch, H. and Gruetter, R. and Krueger, G.},
year = {2014}
}
@inproceedings{SchoberKFHHNCJR2014,
title = {Probabilistic Shortest Path Tractography in DTI~Using Gaussian Process ODE Solvers},
author = {Schober, M. and Kasenburg, N. and Feragen, A. and Hennig, P. and Hauberg, S.},
booktitle = {Medical Image Computing and Computer-Assisted Intervention -- MICCAI 2014, Lecture Notes in Computer Science Vol. 8675},
pages = {265-272},
editors = {P. Golland, N. Hata, C. Barillot, J. Hornegger and R. Howe},
publisher = {Springer},
address = {Heidelberg},
year = {2014}
}
@inproceedings{GeigerJSJ2014,
title = {Estimating Causal Effects by Bounding Confounding},
author = {Geiger, P. and Janzing, D. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence },
pages = {240-249 },
editors = {Nevin L. Zhang and Jin Tian},
publisher = { AUAI Press Corvallis},
address = {Oregon },
year = {2014}
}
@inbook{ZhangSMWZPMA2014,
title = {Single-Source Domain Adaptation with Target and Conditional Shift},
author = {Zhang, K. and Sch{\"o}lkopf, B. and Muandet, K. and Wang, Z. and Zhou, Z. and Persello, C.},
booktitle = {Regularization, Optimization, Kernels, and Support Vector Machines},
pages = {427-456},
chapter = {19},
series = {Chapman & Hall/CRC Machine Learning & Pattern Recognition},
editors = {Suykens, J. A. K., Signoretto, M. and Argyriou, A.},
publisher = {Chapman and Hall/CRC},
address = {Boca Raton, USA},
year = {2014}
}
@inproceedings{BabbarPGA2014,
title = {Re-ranking Approach to Classification in Large-scale Power-law Distributed Category Systems},
author = {Babbar, R. and Partalas, I. and Gaussier, E. and Amini, M-R.},
booktitle = {Proceedings of the 37th international ACM SIGIR conference on Research & development in information retrieval},
pages = {1059-1062},
editors = {S Geva and A Trotman and P Bruza and CLA Clarke and K J{\"a}rvelin},
publisher = {ACM},
address = {New York, NY, USA},
year = {2014}
}
@inproceedings{MuandetFSGS2013,
title = {Kernel Mean Estimation and Stein Effect},
author = {Muandet, K. and Fukumizu, K. and Sriperumbudur, B. and Gretton, A. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 31st International Conference on Machine Learning, W\&CP 32 (1)},
pages = {10-18},
editors = {Eric P. Xing and Tony Jebara},
publisher = {JMLR},
year = {2014}
}
@article{BocsiCP2013_2,
title = {Indirect Robot Model Learning for Tracking Control},
author = {Bocsi, B. and Csató, L. and Peters, J.},
journal = {Advanced Robotics},
volume = {28},
number = {9},
pages = {589-599},
year = {2014}
}
@article{vButtlarZM2014,
title = {An extended approach for spatiotemporal gapfilling: dealing with large and systematic gaps in geoscientific datasets},
author = {v Buttlar, J. and Zscheischler, J. and Mahecha, MD.},
journal = {Nonlinear Processes in Geophysics},
volume = {21},
number = {1},
pages = {203-215},
year = {2014}
}
@article{SchmidtSBMKKP2014,
title = {On the Quantification Accuracy, Homogeneity, and Stability of Simultaneous Positron Emission Tomography/Magnetic Resonance Imaging Systems},
author = {Schmidt, H. and Schwenzer, NF. and Bezrukov, I. and Mantlik, F. and Kolb, A. and Kupferschl{\"a}ger, J. and Pichler, BJ.},
journal = {Investigative Radiology},
volume = {49},
number = {6},
pages = {373-381},
year = {2014}
}
@inproceedings{DanielVMKP2014,
title = {Active Reward Learning},
author = {Daniel, C. and Viering, M. and Metz, J. and Kroemer, O. and Peters, J.},
booktitle = {Proceedings of Robotics: Science & Systems},
editors = {Fox, D., Kavraki, LE., and Kurniawati, H.},
year = {2014}
}
@inproceedings{KamthePD2014,
title = {Multi-modal filtering for non-linear estimation},
author = {Kamthe, S. and Peters, J. and Deisenroth, MP.},
booktitle = {Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing},
pages = {7979--7983},
publisher = {IEEE},
year = {2014}
}
@article{WierstraSGSPS2014,
title = {Natural Evolution Strategies},
author = {Wierstra, D. and Schaul, T. and Glasmachers, T. and Sun, Y. and Peters, J. and Schmidhuber, J.},
journal = {Journal of Machine Learning Research},
volume = {15},
pages = {949-980},
year = {2014}
}
@inbook{SchultzFGDFLAC2014,
title = {Higher-Order Tensors in Diffusion Imaging},
author = {Schultz, T. and Fuster, A. and Ghosh, A. and Deriche, R. and Florack, L. and Lim, L-H.},
booktitle = {Visualization and Processing of Tensors and Higher Order Descriptors for Multi-Valued Data},
pages = {129--161},
series = {Mathematics + Visualization},
editors = {Westin, C.-F., Vilanova, A. and Burgeth, B.},
publisher = {Springer},
year = {2014}
}
@article{SollySBKMMMZTS2014,
title = {Factors controlling decomposition rates of fine root litter in temperate forests and grasslands},
author = {Solly, EF. and Sch{\"o}ning, I. and Boch, S. and Kandeler, E. and Marhan, S. and Michalzik, B. and M{\"u}ller, J. and Zscheischler, J. and Trumbore, SE. and Schrumpf, M.},
journal = {Plant and Soil},
year = {2014}
}
@inproceedings{ChavesLMGJS2014,
title = {Inferring latent structures via information inequalities },
author = {Chaves, R. and Luft, L. and Maciel, TO. and Gross, D. and Janzing, D. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
pages = {112-121},
editors = {NL Zhang and J Tian},
publisher = {AUAI Press},
address = {Corvallis, Oregon},
year = {2014}
}
@article{PetersMJS2014,
title = {Causal Discovery with Continuous Additive Noise Models },
author = {Peters, J. and Mooij, JM. and Janzing, D. and Sch{\"o}lkopf, B.},
journal = {Journal of Machine Learning Research},
volume = {15},
pages = {2009-2053},
year = {2014}
}
@inbook{SchultzVBKHCA2012,
title = {Fuzzy Fibers: Uncertainty in dMRI Tractography},
author = {Schultz, T. and Vilanova, A. and Brecheisen, R. and Kindlmann, G.},
booktitle = {Scientific Visualization: Uncertainty, Multifield, Biomedical, and Scalable Visualization},
pages = {79--92},
chapter = {8},
series = {Mathematics + Visualization},
editors = {Hansen, C. D., Chen, M., Johnson, C. R., Kaufman, A. E. and Hagen, H.},
publisher = {Springer},
year = {2014}
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title = {Cluster analysis of sharp-wave ripple field potential signatures in the macaque hippocampus},
author = {Ramirez-Villegas, J. F. and Logothetis, N. K. and Besserve, M.},
year = {2014}
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title = {A few extreme events dominate global interannual variability in gross primary production },
author = {Zscheischler, J. and Mahecha, MD. and v Buttlar, J. and Harmeling, S. and Jung, M. and Rammig, A. and Randerson, JT. and Sch{\"o}lkopf, B. and Seneviratne, SI. and Tomelleri, E. and Zaehle, S. and Reichstein, M.},
journal = {Environmental Research Letters},
volume = {9},
number = {3},
pages = {035001},
year = {2014}
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@article{MullingBMSP2014,
title = {Learning Strategies in Table Tennis using Inverse Reinforcement Learning},
author = {M{\"u}lling, K. and Boularias, A. and Mohler, B. and Sch{\"o}lkopf, B. and Peters, J.},
journal = {Biological Cybernetics},
volume = {108},
number = {5},
pages = {603-619},
year = {2014}
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@inproceedings{BischoffNvMRKPD2014,
title = {Policy Search For Learning Robot Control Using Sparse Data},
author = {Bischoff, B. and Nguyen-Tuong, D. and van Hoof, H. and McHutchon, A. and Rasmussen, CE. and Knoll, A. and Peters, J. and Deisenroth, MP.},
booktitle = {Proceedings of 2014 IEEE International Conference on Robotics and Automation},
pages = {3882--3887},
publisher = {IEEE},
year = {2014}
}
@inproceedings{ManschitzKGP2014,
title = {Learning to Unscrew a Light Bulb from Demonstrations},
author = {Manschitz, S. and Kober, J. and Gienger, M. and Peters, J.},
booktitle = {Proceedings for the joint conference of ISR 2014, 45th International Symposium on Robotics and Robotik 2014},
year = {2014}
}
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title = {Towards Neurofeedback Training of Associative Brain Areas for Stroke Rehabilitation},
author = {Özdenizci, O. and Meyer, T. and Cetin, M. and Grosse-Wentrup, M.},
booktitle = {Proceedings of the 6th International Brain-Computer Interface Conference},
editors = {G M{\"u}ller-Putz and G Bauernfeind and C Brunner and D Steyrl and S Wriessnegger and R Scherer},
year = {2014}
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title = {Kernel methods in system identification, machine learning and function estimation: A survey},
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volume = {50},
number = {3},
pages = {657-682},
year = {2014}
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title = {Development of a novel depth of interaction PET detector using highly multiplexed G-APD cross-strip encoding },
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journal = {Medical Physics},
volume = {41},
number = {8},
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@inproceedings{GunterOGHR2014,
title = {Sampling for Inference in Probabilistic Models with Fast Bayesian Quadrature},
author = {Gunter, T. and Osborne, M. and Garnett, R. and Hennig, P. and Roberts, S.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {2789--2797},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5483-sampling-for-inference-in-probabilistic-models-with-fast-bayesian-quadrature.pdf}
}
@conference{Dajetal14,
title = {Scalable Kernel Methods via Doubly Stochastic Gradients},
author = {Dai, B. and Xie, B. and He, N. and Liang, Y. and Raj, A. and Balcan, M. and Song, L.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {3041--3049},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
year = {2014},
url = {http://papers.nips.cc/paper/5238-scalable-kernel-methods-via-doubly-stochastic-gradients.pdf}
}
@phdthesis{Zscheischler14,
title = {A global analysis of extreme events and consequences for the terrestrial carbon cycle},
author = {Zscheischler, J.},
series = {Diss. No. 22043},
institution = {ETH Zurich, Switzerland},
school = {ETH Zurich, Switzerland},
year = {2014}
}
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title = {Epidural electrocorticography for monitoring of arousal in locked-in state},
author = {Martens, S. and Bensch, M. and Halder, S. and Hill, J. and Nijboer, F. and Ramos-Murguialday, A. and Sch{\"o}lkopf, B. and Birbaumer, N. and Gharabaghi, A.},
journal = {Frontiers in Human Neuroscience},
volume = {8},
number = {861},
year = {2014}
}
@inproceedings{BalcanDMUV14,
title = {Learning Economic Parameters from Revealed Preferences},
author = {Balcan, M.{-}F. and Daniely, A. and Mehta, R. and Urner, R. and Vazirani, V. V.},
booktitle = {Web and Internet Economics - 10th International Conference},
volume = {8877},
pages = {338--353},
series = {Lecture Notes in Computer Science},
editors = {Liu, T.-Y. and Qi, Q. and Ye, Y.},
year = {2014},
crossref = {DBLP:conf/wine/2014},
url = {http://dx.doi.org/10.1007/978-3-319-13129-0_28}
}
@inbook{Sra2014,
title = {Nonconvex Proximal Splitting with Computational Errors},
author = {Sra, S.},
booktitle = {Regularization, Optimization, Kernels, and Support Vector Machines},
pages = {83--102},
chapter = {4},
editors = {Suykens, J. A. K., Signoretto, M. and Argyriou, A.},
publisher = {CRC Press},
year = {2014}
}
@inproceedings{WytSraKol2014,
title = {Fast Newton methods for the group fused lasso},
author = {Wytock, M. and Sra, S. and Kolter, J. Z.},
booktitle = {Proceedings of the 30th Conference on Uncertainty in Artificial Intelligence},
pages = {888--897},
editors = {Zhang, N. L. and Tian, J.},
publisher = {AUAI Press},
year = {2014},
url = {https://dslpitt.org/uai/papers/14/p888-wytock.pdf}
}
@article{SchaferGSGBPREFCS2014,
title = {Simultaneous Whole-Body {PET/MR} Imaging in Comparison to {PET/CT} in Pediatric Oncology: Initial Results},
author = {Sch{\"a}fer, J. F. and Gatidis, S. and Schmidt, H. and G{\"u}ckel, B and Bezrukov, I. and Pfannenberg, C. A. and Reimold, M. and M., Ebinger; and Fuchs, J. and Claussen, C. D. and Schwenzer, N. F.},
journal = {Radiology},
volume = {273},
number = {1},
pages = {220--231},
year = {2014}
}
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title = {Nonequilibrium statistical mechanics of the heat bath for two Brownian particles},
author = {De Bacco, Caterina and Baldovin, Fulvio and Orlandini, Enzo and Sekimoto, Ken},
journal = {Physical review letters},
volume = {112},
number = {18},
pages = {180605},
publisher = {APS},
year = {2014},
url = {https://journals.aps.org/prl/abstract/10.1103/PhysRevLett.112.180605}
}
@conference{RajNamTuy14,
title = {Mind the Gap: Subspace based Hierarchical Domain Adaptation},
author = {Raj, A. and Namboodiri, V. and Tuytelaars, T.},
booktitle = {Transfer and Multi-task learning Workshop in Advances in Neural Information System Conference 27},
year = {2014},
url = {http://cims.nyu.edu/~munoz/multitask/Paper_8_mind-gap-subspace.pdf}
}
@thesis{Schmeisser14,
title = {Development of advanced methods for improving astronomical images},
author = {Schmei{\ss}er, N.},
institution = {Eberhard Karls Universit{\"a}t T{\"u}bingen, Germany},
school = {Eberhard Karls Universit{\"a}t T{\"u}bingen, Germany},
year = {2014}
}
@mastersthesis{Lacosse14,
title = {The Feasibility of Causal Discovery in Complex Systems: An Examination of Climate Change Attribution and Detection},
author = {Lacosse, E.},
institution = {Graduate Training Centre of Neuroscience, University of T{\"u}bingen, Germany},
school = {Graduate Training Centre of Neuroscience, University of T{\"u}bingen, Germany},
year = {2014}
}
@article{Perselloetal2014,
title = {Cost-Sensitive Active Learning With Lookahead: Optimizing Field Surveys for Remote Sensing Data Classification},
author = {Persello, C. and Boularias, A. and Dalponte, M. and Gobakken, T. and Naesset, E. and Sch{\"o}lkopf, B.},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
volume = {10},
number = {52},
pages = {6652 - 6664},
year = {2014}
}
@inproceedings{TolBlaKlo14,
title = {Localized Complexities for Transductive Learning},
author = {Tolstikhin, I. and Blanchard, G. and Kloft, M.},
booktitle = {Proceedings of the 27th Conference on Learning Theory},
volume = {35},
pages = {857--884},
editors = {Balcan, M.-F. and Feldman, V. and Szepesvári, C.},
publisher = {JMLR},
year = {2014},
url = {http://jmlr.org/proceedings/papers/v35/tolstikhin14.pdf}
}
@article{BarSra2014,
title = {Modular proximal optimization with application to total variation regularization},
author = {Barbero, A. J. and Sra, S.},
year = {2014},
url = {http://arxiv.org/abs/1411.0589}
}
@article{DisselhorstBKPP2014,
title = {Principles of {PET/MR} Imaging},
author = {Disselhorst, J. A. and Bezrukov, I. and Kolb, A. and Parl, C. and Pichler, B. J.},
journal = {Journal of Nuclear Medicine},
volume = {55},
number = {6, Supplement 2},
pages = {2S-10S},
year = {2014}
}
@article{zuntz2014im3shape,
title = {IM3SHAPE: Maximum likelihood galaxy shear measurement code for cosmic gravitational lensing},
author = {Zuntz, J. and Kacprzak, T. and Voigt, L. and Hirsch, M. and Rowe, B. and Bridle, S.},
journal = {Astrophysics Source Code Library},
volume = {1},
pages = {09013},
year = {2014},
url = {http://arxiv.org/abs/1302.0183}
}
@mastersthesis{Huang14,
title = {Causal Discovery in the Presence of Time-Dependent Relations or Small Sample Size},
author = {Huang, B.},
institution = {Graduate Training Centre of Neuroscience, University of T{\"u}bingen, Germany},
school = {Graduate Training Centre of Neuroscience, University of T{\"u}bingen, Germany},
year = {2014}
}
@incollection{BalcanU15,
title = {Active Learning - Modern Learning Theory},
author = {Balcan, M.{-}F. and Urner, R.},
booktitle = {Encyclopedia of Algorithms},
editors = {Kao, M.-Y.},
publisher = {Springer Berlin Heidelberg},
year = {2014},
crossref = {DBLP:reference/algo/2015},
url = {http://dx.doi.org/10.1007/978-3-642-27848-8_769-2}
}
@article{CherianSMP2014,
title = {Efficient nearest neighbors via robust sparse hashing},
author = {Cherian, A. and Sra, S. and Morellas, V. and Papanikolopoulos, N.},
journal = {IEEE Transactions on Image Processing},
volume = {23},
number = {8},
pages = {3646--3655},
year = {2014}
}
@talk{DivineDKP2014,
title = {Using a population based Gaussian Mixture Model on fused [18]F-FDG PET and DW-MRI images accurately segments the tumor microenvironment into clinically relevant compartments capable of guiding therapy},
author = {Divine, M. R. and Disselhorst, J. A. and Katiyar, P. and Pichler, B. J.},
year = {2014}
}
@conference{Yuetal14,
title = {Efficient Structured Matrix Rank Minimization},
author = {Yu, A. W. and Ma, W. and Yu, Y. and Carbonell, J. and Sra, S.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {1350--1358},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
publisher = {Curran Associates, Inc.},
year = {2014},
url = {http://papers.nips.cc/paper/5524-efficient-structured-matrix-rank-minimization.pdf}
}
@inproceedings{LanHogSch14,
title = {Towards building a Crowd-Sourced Sky Map},
author = {Lang, D. and Hogg, D. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the Seventeenth International Conference on Artificial Intelligence and Statistics},
volume = {JMLR W\&CP 33},
pages = {549–557},
editors = {S. Kaski and J. Corander},
publisher = {JMLR.org},
year = {2014},
url = {http://jmlr.csail.mit.edu/proceedings/papers/v33/lang14.pdf}
}
@talk{Janzing14,
title = {Causal Inference from Passive Observations},
author = {Janzing, D.},
year = {2014}
}
@inproceedings{5594incrementallocalgaussianregression,
title = {Incremental Local Gaussian Regression},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {Advances in Neural Information Processing Systems 27},
pages = {972--980},
editors = {Z. Ghahramani, M. Welling, C. Cortes, N.D. Lawrence and K.Q. Weinberger},
year = {2014},
note = {clmc},
crossref = {p10612},
url = {http://papers.nips.cc/paper/5594-incremental-local-gaussian-regression}
}
@article{Ben-DavidU14_2,
title = {Domain adaptation-can quantity compensate for quality?},
author = {Ben{-}David, S. and Urner, R.},
journal = {Annals of Mathematics and Artificial Intelligence},
volume = {70},
number = {3},
pages = {185--202},
year = {2014},
url = {http://dx.doi.org/10.1007/s10472-013-9371-9}
}
@poster{KatiyarDPD2014,
title = {oxel level [18]F-FDG PET/MRI unsupervised segmentation of the tumor microenvironment},
author = {Katiyar, P. and Divine, M. R. and Pichler, B. J. and Disselhorst, J. A.},
year = {2014}
}
@article{kacprzak2014sersic,
title = {S{\'e}rsic galaxy models in weak lensing shape measurement: model bias, noise bias and their interaction},
author = {Kacprzak, T. and Bridle, S. and Rowe, B. and Voigt, L. and Zuntz, J. and Hirsch, M. and MacCrann, N.},
journal = {Monthly Notices of the Royal Astronomical Society},
volume = {441},
number = {3},
pages = {2528--2538},
publisher = {Oxford University Press},
year = {2014}
}
@inproceedings{Schuler_NIPS14,
title = {Learning to Deblur},
author = {Schuler, C. J. and Hirsch, M. and Harmeling, S. and Sch{\"o}lkopf, B.},
booktitle = {NIPS 2014 Deep Learning and Representation Learning Workshop},
year = {2014},
url = {http://arxiv.org/abs/1406.7444}
}
@phdthesis{Alamgir14,
title = {Analysis of Distance Functions in Graphs},
author = {Alamgir, M.},
institution = {University of Hamburg, Germany},
school = {University of Hamburg, Germany},
year = {2014}
}
@inproceedings{meierIROS2014,
title = {Efficient Bayesian Local Model Learning for Control},
author = {Meier, F. and Hennig, P. and Schaal, S.},
booktitle = {Proceedings of the IEEE International Conference on Intelligent Robots and Systems},
pages = {2244 - 2249},
year = {2014},
note = {clmc},
crossref = {p10593},
url = {http://www-clmc.usc.edu/publications/M/meier-IROS2014.pdf}
}
@inproceedings{Ben-DavidU14,
title = {The sample complexity of agnostic learning under deterministic labels},
author = {Ben{-}David, S. and Urner, R.},
booktitle = {Proceedings of the 27th Conference on Learning Theory},
volume = {35},
pages = {527--542},
editors = {Balcan, M.-F. and Feldman, V. and Szepesvári, C.},
publisher = {JMLR},
year = {2014},
crossref = {DBLP:conf/colt/2014},
url = {http://jmlr.org/proceedings/papers/v35/ben-david14.html}
}
@conference{AzaSra2014,
title = {Towards an optimal stochastic alternating direction method of multipliers},
author = {Azadi, S. and Sra, S.},
booktitle = {Proceedings of the 31st International Conference on Machine Learning},
volume = {32},
pages = {620--628},
editors = {Xing, E. P. and Jebara, T.},
publisher = {JMLR},
year = {2014},
url = {http://jmlr.org/proceedings/papers/v32/azadi14.pdf}
}
@article{Schmidt-WilckeCWSLMS2014,
title = {Diminished White Matter Integrity in Patients with Systemic Lupus Erythematosus},
author = {Schmidt-Wilcke, T. and Cagnoli, P. and Wang, P. and Schultz, T. and Lotz, A. and Mccune, W. J. and Sundgren, P. C.},
journal = {NeuroImage: Clinical},
volume = {5},
pages = {291--297},
year = {2014}
}
@conference{GomSonSch14,
title = {Open Problem: Finding Good Cascade Sampling Processes for the Network Inference Problem},
author = {Gomez Rodriguez, M. and Song, L. and Sch{\"o}lkopf, B.},
booktitle = {Proceedings of the 27th Conference on Learning Theory},
volume = {35},
pages = {1276--1279},
editors = {Balcan, M.-F. and Szepesv{\'{a}}ri, C.},
publisher = {JMLR.org},
year = {2014}
}
@article{de2014shortest,
title = {Shortest node-disjoint paths on random graphs},
author = {De Bacco, Caterina and Franz, Silvio and Saad, David and Yeung, C H},
journal = {Journal of Statistical Mechanics: Theory and Experiment},
volume = {2014},
number = {7},
pages = {P07009},
publisher = {IOP Publishing},
year = {2014},
url = {http://iopscience.iop.org/article/10.1088/1742-5468/2014/07/P07009/meta}
}
@article{BraunO2014,
title = {Information-Theoretic Bounded Rationality and ϵ-Optimality},
author = {Braun, DA and Ortega, PA},
journal = {Entropy},
volume = {16},
number = {8},
pages = {4662-4676},
month = aug,
year = {2014},
month_numeric = {8}
}
@article{GeneweinB2014,
title = {Occam's Razor in sensorimotor learning},
author = {Genewein, T and Braun, D},
journal = {Proceedings of the Royal Society of London B},
volume = {281},
number = {1783},
pages = {1-7},
month = may,
year = {2014},
month_numeric = {5}
}
@article{OrtegaB2014,
title = {Generalized Thompson sampling for sequential decision-making and causal inference},
author = {Ortega, PA and Braun, DA},
journal = {Complex Adaptive Systems Modeling},
volume = {2},
number = {2},
pages = {1-23},
month = mar,
year = {2014},
month_numeric = {3}
}
@article{PengGB2014,
title = {Assessing randomness and complexity in human motion trajectories through analysis of symbolic sequences},
author = {Peng, Z and Genewein, T and Braun, DA},
journal = {Frontiers in Human Neuroscience},
volume = {8},
number = {168},
pages = {1-13},
month = mar,
year = {2014},
month_numeric = {3}
}
@conference{PengB2014,
title = {Curiosity-driven learning with Context Tree Weighting},
author = {Peng, Z and Braun, DA},
pages = {366-367},
publisher = {IEEE},
address = {Piscataway, NJ, USA},
month = oct,
year = {2014},
month_numeric = {10}
}
@conference{OrtegaBT2014,
title = {Monte Carlo methods for exact \& efficient solution of the generalized optimality equations},
author = {Ortega, PA and Braun, DA and Tishby, N},
pages = {4322-4327},
publisher = {IEEE},
address = {Piscataway, NJ, USA},
month = jun,
year = {2014},
url = {http://www.kyb.tuebingen.mpg.defileadmin/user_upload/files/publications/2014/ICRA-2014-Ortega.pdf},
month_numeric = {6}
}