| Fairness constraints: A mechanism for fair classification. MB Zafar, I Valera, MG Rodriguez, KP Gummadi International Conference on Artificial Intelligence and Statistics (AISTATS …, 2017 | 1828 | 2017 |
| Fairness beyond disparate treatment & disparate impact: Learning classification without disparate mistreatment MB Zafar, I Valera, M Gomez Rodriguez, KP Gummadi Proceedings of the 26th international conference on world wide web, 1171-1180, 2017 | 1666 | 2017 |
| Fairness Constraints: A Flexible Approach for Fair Classification. MB Zafar, I Valera, M Gomez-Rodriguez, KP Gummadi J. Mach. Learn. Res. 20 (75), 1-42, 2019 | 537 | 2019 |
| Handling incomplete heterogeneous data using VAEs A Nazabal, PM Olmos, Z Ghahramani, I Valera Pattern Recognition, 2020 | 527 | 2020 |
| Algorithmic recourse: from counterfactual explanations to interventions AH Karimi, B Schölkopf, I Valera Proceedings of the 2021 ACM conference on fairness, accountability, and …, 2021 | 503 | 2021 |
| A survey of algorithmic recourse: contrastive explanations and consequential recommendations AH Karimi, G Barthe, B Schölkopf, I Valera ACM Computing Surveys 55 (5), 1-29, 2022 | 483* | 2022 |
| Model-Agnostic Counterfactual Explanations for Consequential Decisions AH Karimi, G Barthe, B Balle, I Valera Proceedings of the Twenty Third International Conference on Artificial …, 2020 | 469 | 2020 |
| From parity to preference-based notions of fairness in classification MB Zafar, I Valera, M Rodriguez, K Gummadi, A Weller Advances in neural information processing systems 30, 2017 | 298 | 2017 |
| Algorithmic recourse under imperfect causal knowledge: a probabilistic approach AH Karimi, J Von Kügelgen, B Schölkopf, I Valera Advances in neural information processing systems 33, 265-277, 2020 | 236 | 2020 |
| Shaping social activity by incentivizing users M Farajtabar, N Du, M Gomez Rodriguez, I Valera, H Zha, L Song Advances in neural information processing systems 27, 2014 | 191 | 2014 |
| One-network adversarial fairness T Adel, I Valera, Z Ghahramani, A Weller Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 2412-2420, 2019 | 165 | 2019 |
| Learning and forecasting opinion dynamics in social networks A De, I Valera, N Ganguly, S Bhattacharya, MG Rodriguez Advances in Neural Information Processing Systems, 2016, 2016 | 163 | 2016 |
| Rotograd: Dynamic gradient homogenization for multitask learning A Javaloy, I Valera The International Conference on Learning Representations (ICLR), 2022 | 143* | 2022 |
| On the fairness of causal algorithmic recourse J Von Kügelgen, AH Karimi, U Bhatt, I Valera, A Weller, B Schölkopf Proceedings of the AAAI conference on artificial intelligence 36 (9), 9584-9594, 2022 | 122 | 2022 |
| Modeling adoption and usage of competing products I Valera, M Gomez-Rodriguez 2015 IEEE International Conference on Data Mining, 409-418, 2015 | 91* | 2015 |
| Fair Decisions Despite Imperfect Predictions N Kilbertus, M Gomez-Rodriguez, B Schölkopf, K Muandet, I Valera arXiv preprint arXiv:1902.02979, 2019 | 88* | 2019 |
| Vaca: Designing variational graph autoencoders for causal queries P Sánchez-Martin, M Rateike, I Valera Proceedings of the AAAI Conference on Artificial Intelligence 36 (7), 8159-8168, 2022 | 64* | 2022 |
| Scaling guarantees for nearest counterfactual explanations K Mohammadi, AH Karimi, G Barthe, I Valera Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 177-187, 2021 | 64 | 2021 |
| Causal normalizing flows: from theory to practice A Javaloy, P Sánchez-Martín, I Valera Advances in Neural Information Processing Systems 36, 58833-58864, 2023 | 60 | 2023 |
| Modeling the dynamics of learning activity on the web C Mavroforakis, I Valera, M Gomez-Rodriguez Proceedings of the 26th International Conference on World Wide Web, 1421-1430, 2017 | 60* | 2017 |
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org
