ei plg Kilbertus, N., Gomez Rodriguez, M., Schölkopf, B., Muandet, K., Valera, I. Fair Decisions Despite Imperfect Predictions Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 108, pages: 277-287, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, August 2020 (conference)

link (url) [BibTex]

ei Gebhard, T., Kilbertus, N., Harry, I., Schölkopf, B. Convolutional neural networks: A magic bullet for gravitational-wave detection? Physical Review D, 100(6):063015, American Physical Society, September 2019 (article)

link (url) DOI [BibTex]

ei Kilbertus, N., Ball, P. J., Kusner, M. J., Weller, A., Silva, R. The Sensitivity of Counterfactual Fairness to Unmeasured Confounding Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), pages: 213, (Editors: Amir Globerson and Ricardo Silva), AUAI Press, July 2019 (conference)

link (url) [BibTex]

ei Kilbertus*, N., Parascandolo*, G., Schölkopf*, B. Generalization in anti-causal learning NeurIPS 2018 Workshop on Critiquing and Correcting Trends in Machine Learning, December 2018, *authors are listed in alphabetical order (conference)

arXiv link (url) [BibTex]

ei Kilbertus, N., Gascon, A., Kusner, M., Veale, M., Gummadi, K., Weller, A. Blind Justice: Fairness with Encrypted Sensitive Attributes Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 2635-2644, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

ei Parascandolo, G., Kilbertus, N., Rojas-Carulla, M., Schölkopf, B. Learning Independent Causal Mechanisms Proceedings of the 35th International Conference on Machine Learning (ICML), 80, pages: 4033-4041, Proceedings of Machine Learning Research, (Editors: Dy, Jennifer and Krause, Andreas), PMLR, July 2018 (conference)

link (url) Project Page [BibTex]

ei Parascandolo, G., Rojas-Carulla, M., Kilbertus, N., Schölkopf, B. Learning Independent Causal Mechanisms Workshop: Learning Disentangled Representations: from Perception to Control at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

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ei Kilbertus, N., Rojas-Carulla, M., Parascandolo, G., Hardt, M., Janzing, D., Schölkopf, B. Avoiding Discrimination through Causal Reasoning Advances in Neural Information Processing Systems 30, pages: 656-666, (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)

link (url) Project Page [BibTex]

ei Gebhard, T., Kilbertus, N., Parascandolo, G., Harry, I., Schölkopf, B. ConvWave: Searching for Gravitational Waves with Fully Convolutional Neural Nets Workshop on Deep Learning for Physical Sciences (DLPS) at the 31st Conference on Neural Information Processing Systems, December 2017 (conference)

link (url) Project Page [BibTex]