I am leading the Probabilistic Learning Group in the Department of Empirical Inference at the Max Planck Institute for Intelligent Systems in Tübingen. My research turns around the development of general machine learning methods that leverage the availability of data to solve real-world problems. In particular, I have three main goals in my research: i) capturing complex real-world phenomena, which often involve being able to ii) handle time-dependent, unstructured and heterogeneous data, and iii) provide interpretable results that allow us to better understand these phenomena, i.e., to include humans in the loop. Please, find more information on my research and publications on my personal website
ei
Valera, I., Singla, A., Gomez Rodriguez, M.
Enhancing the Accuracy and Fairness of Human Decision Making
Advances in Neural Information Processing Systems 31, pages: 1774-1783, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32th Annual Conference on Neural Information Processing Systems, December 2018 (conference)
ei
Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G.
Boosting Black Box Variational Inference
Advances in Neural Information Processing Systems 31, pages: 3405-3415, (Editors: S. Bengio and H. Wallach and H. Larochelle and K. Grauman and N. Cesa-Bianchi and R. Garnett), Curran Associates, Inc., 32th Annual Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)
ei
Kapoor, J., Vergari, A., Gomez Rodriguez, M., Valera, I.
Bayesian Nonparametric Hawkes Processes
Bayesian Nonparametrics workshop at the 32nd Conference on Neural Information Processing Systems, December 2018 (conference)
ei
Ruiz, F. J. R., Valera, I., Svensson, L., Perez-Cruz, F.
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation
IEEE Transactions on Cognitive Communications and Networking, 4(2):177-191, June 2018 (article)
ei
Zafar, M. B., Valera, I., Gomez Rodriguez, M., Gummadi, K.
A Flexible Approach for Fair Classification
Journal of Machine Learning, 2018 (article) Accepted
ei
Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K., Valera, I.
Automatic Bayesian Density Analysis
2018 (conference) Submitted
ei
Zafar, M. B., Valera, I., Gomez Rodriguez, M., Gummadi, K., Weller, A.
From Parity to Preference-based Notions of Fairness in Classification
Advances in Neural Information Processing Systems 30, pages: 229-239, (Editors: Guyon I. and Luxburg U.v. and Bengio S. and Wallach H. and Fergus R. and Vishwanathan S. and Garnett R.), Curran Associates, Inc., 31st Annual Conference on Neural Information Processing Systems, December 2017 (conference)
ei
Tabibian, B., Farajtabar, M., Valera, I., Song, L., Schölkopf, B., Gomez Rodriguez, M.
On the Reliability of Information and Trustworthiness of Web Sources in Wikipedia
Wikipedia workshop at the 10th International AAAI Conference on Web and Social Media (ICWSM), May 2016 (conference)
ei
Farajtabar, M., Du, N., Gomez Rodriguez, M., Valera, I., Zha, H., Song, L.
Shaping Social Activity by Incentivizing Users
In Advances in Neural Information Processing Systems 27, (Editors: Ghahramani, Z., Welling, M., Cortes, C., Lawrence, ND., and Weinberger, KQ.), Curran Associates, Inc., 28th Annual Conference on Neural Information Processing Systems (NIPS), 2014 (inproceedings)
For website questions and technical problems please contact:
© 2019 Max-Planck-Gesellschaft - Imprint | Privacy Policy
