2022
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)
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)
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)
Karimi, A. H., von Kügelgen, J., Schölkopf, B., Valera, I.
Towards Causal Algorithmic Recourse
In xxAI - Beyond Explainable AI: International Workshop, Held in Conjunction with ICML 2020, July 18, 2020, Vienna, Austria, Revised and Extended Papers, pages: 139-166, (Editors: Holzinger, Andreas and Goebel, Randy and Fong, Ruth and Moon, Taesup and Müller, Klaus-Robert and Samek, Wojciech), Springer International Publishing, 2022 (inbook)
2021
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)
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)
2020
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)
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)
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)
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)
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)
Valera, I., Pradier, M. F., Lomeli, M., Ghahramani, Z.
General Latent Feature Models for Heterogeneous Datasets
Journal of Machine Learning Research, 21(100):1-49, 2020 (article)
Nazábal, A., Olmos, P. M., Ghahramani, Z., Valera, I.
Handling incomplete heterogeneous data using VAEs
Pattern Recognition, 107, pages: 107501, 2020 (article)
Javaloy, A. G. G.
Preliminary Results on Different Text Processing Tasks Using Encoder-Decoder Networks and the Causal Feature Extractor
Applied Sciences, 10(17):5772, 2020 (article)
Javaloy, A. G. G.
Text Normalization Using Encoder-Decoder Networks Based on the Causal Feature Extractor
Applied Sciences, 10(13):4551, 2020 (article)
2019
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)
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)
Zafar, M. B., Valera, I., Gomez-Rodriguez, M., Gummadi, K. P.
Fairness Constraints: A Flexible Approach for Fair Classification
Journal of Machine Learning Research, 20(75):1-42, 2019 (article)
2018
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)
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)
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)
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)
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
Vergari, A., Di Mauro, N., Esposito, F.
Visualizing and understanding Sum-Product Networks
Machine Learning, 2018 (article)
2017
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)
2016
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)