Rateike, M., Majumdar, A., Mineeva, O., Gummadi, K. P., Valera, I. Don’t Throw it Away! The Utility of Unlabeled Data in Fair Decision Making In FAccT ’22: 2022 ACM Conference on Fairness, Accountability, and Transparency, pages: 1421-1433, ACM, New York, NY, 5th ACM Conference on Fairness, Accountability, and Transparency (FAccT 2022), June 2022 (inproceedings)

DOI [BibTex]

von Kügelgen, J., Karimi, A., Bhatt, U., Valera, I., Weller, A., Schölkopf, B. On the Fairness of Causal Algorithmic Recourse Proceedings of the 36th AAAI Conference on Artificial Intelligence, 9, pages: 9584-9594, AAAI Press, Palo Alto, CA, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), February 2022, *also at ICML 2021 Workshop Algorithmic Recourse and NeurIPS 2020 Workshop Algorithmic Fairness through the Lens of Causality and Interpretability (AFCI) (conference)

arXiv link (url) DOI Project Page [BibTex]

Sanchez-Martin, P., Rateike, M., Valera, I. VACA: Designing Variational Graph Autoencoders for Causal Queries In Proceedings of the 36th AAAI Conference on Artificial Intelligence, 7, pages: 8159-8168, AAAI Press, Palo Alto, CA, Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), February 2022 (inproceedings)

DOI [BibTex]

Mohammadi, K., Karimi, A., Barthe, G., Valera, I. Scaling Guarantees for Nearest Counterfactual Explanations AIES ’21: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, pages: 177-187, (Editors: Marion Fourcade, Benjamin Kuipers, Seth Lazar and Deirdre K. Mulligan), ACM, New York, NY, Fourth AAAI/ACM Conference on AI, Ethics, and Society (AIES 2021), May 2021 (conference)

arXiv DOI Project Page [BibTex]

Karimi, A., Schölkopf, B., Valera, I. Algorithmic Recourse: from Counterfactual Explanations to Interventions FAccT ’21: Proceedings of the 2021 ACM Conference on Fairness, Accountability, and Transparency, pages: 353-362, (Editors: Madeleine Clare Elish and William Isaac and Richard S. Zemel), ACM, New York, NY, ACM Conference on Fairness, Accountability, and Transparency (FAccT 2021), March 2021 (conference)

link (url) DOI Project Page [BibTex]

Karimi*, A., von Kügelgen*, J., Schölkopf, B., Valera, I. Algorithmic recourse under imperfect causal knowledge: a probabilistic approach Advances in Neural Information Processing Systems 33 (NeurIPS 2020), pages: 265-277, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020, *equal contribution (conference)

arXiv link (url) Project Page [BibTex]

Gresele, L., Fissore, G., Javaloy, A., Schölkopf, B., Hyvarinen, A. Relative gradient optimization of the Jacobian term in unsupervised deep learning Advances in Neural Information Processing Systems 33 (NeurIPS 2020), pages: 16567-16578, (Editors: H. Larochelle and M. Ranzato and R. Hadsell and M. F. Balcan and H. Lin), Curran Associates, Inc., 34th Annual Conference on Neural Information Processing Systems, December 2020 (conference)

link (url) Project Page [BibTex]

Karimi, A., Barthe, G., Balle, B., Valera, I. Model-Agnostic Counterfactual Explanations for Consequential Decisions Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics (AISTATS), 108, pages: 895-905, Proceedings of Machine Learning Research, (Editors: Silvia Chiappa and Roberto Calandra), PMLR, August 2020 (conference)

arXiv link (url) Project Page [BibTex]

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) Project Page [BibTex]

Ghosh*, P., Sajjadi*, M. S. M., Vergari, A., Black, M. J., Schölkopf, B. From Variational to Deterministic Autoencoders 8th International Conference on Learning Representations (ICLR) , April 2020, *equal contribution (conference)

arXiv link (url) Project Page [BibTex]

Peharz, R., Vergari, A., Stelzner, K., Molina, A., Shao, X., Trapp, M., Kersting, K., Ghahramani, Z. Random Sum-Product Networks: A Simple and Effective Approach to Probabilistic Deep Learning Proceedings of the 35th Conference on Uncertainty in Artificial Intelligence (UAI), 115, pages: 334-344, Proceedings of Machine Learning Research, (Editors: Adams, Ryan P. and Gogate, Vibhav), PMLR, July 2019 (conference)

link (url) [BibTex]

Vergari, A., Molina, A., Peharz, R., Ghahramani, Z., Kersting, K., Valera, I. Automatic Bayesian Density Analysis Proceedings of the AAAI Conference on Artificial Intelligence (AAAI-19), 33:01, pages: 5207-5215, AAAI.org, AAAI-19, January 2019 (conference)

arXiv DOI [BibTex]

Valera, I., Singla, A., Gomez Rodriguez, M. Enhancing the Accuracy and Fairness of Human Decision Making Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 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., 32nd Annual Conference on Neural Information Processing Systems, December 2018 (conference)

arXiv link (url) [BibTex]

Locatello*, F., Dresdner*, G., R., K., Valera, I., Rätsch, G. Boosting Black Box Variational Inference Advances in Neural Information Processing Systems 31 (NeurIPS 2018), 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., 32nd Annual Conference on Neural Information Processing Systems, December 2018, *equal contribution (conference)

arXiv link (url) [BibTex]

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)

PDF link (url) [BibTex]

Peharz, R., Vergari, A., Stelzner, K., Molina, A., Trapp, M., Kersting, K., Ghahramani, Z. Probabilistic Deep Learning using Random Sum-Product Networks 2018 (conference) Submitted

arXiv [BibTex]

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 (NIPS 2017), 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)

link (url) [BibTex]

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)

link (url) Project Page [BibTex]

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)

Web link (url) [BibTex]