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ORCIDIsabel Valera
Maria Isabel Valera Martinez
Person information
- affiliation: Saarland University, Department of Computer Science, Saarbrücken, Germany
- affiliation: Max Planck Institute for Intelligent Systems, Tübingen, Germany
- affiliation: University of Cambridge, Department of Engieneering, UK
- affiliation: University Carlos III of Madrid, Department of Signal Processingand Communications, Spain
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2020 – today
- 2024
[c39]Miriam Rateike
, Isabel Valera, Patrick Forré:
Designing Long-term Group Fair Policies in Dynamical Systems. FAccT 2024: 20-50- [c38]Ayan Majumdar, Isabel Valera:
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. FAccT 2024: 1745-1762 - [i36]Pablo Sánchez-Martín, Sonja Utz, Isabel Valera:
Exploring the Boundaries of Ambient Awareness in Twitter. CoRR abs/2403.17776 (2024) - [i35]Pablo Sánchez-Martín, Kinaan Aamir Khan, Isabel Valera:
Improving the interpretability of GNN predictions through conformal-based graph sparsification. CoRR abs/2404.12356 (2024) - 2023
- [j9]Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera:
A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. 55(5): 95:1-95:29 (2023) - [c37]Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera:
Learnable Graph Convolutional Attention Networks. ICLR 2023 - [c36]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML 2023: 17660-17683 - [c35]Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera:
Causal normalizing flows: from theory to practice. NeurIPS 2023 - [i34]Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera:
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR abs/2302.06223 (2023) - [i33]Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera:
Causal normalizing flows: from theory to practice. CoRR abs/2306.05415 (2023) - [i32]Miriam Rateike, Isabel Valera, Patrick Forré:
Designing Long-term Group Fair Policies in Dynamical Systems. CoRR abs/2311.12447 (2023) - 2022
- [c34]Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera:
VACA: Designing Variational Graph Autoencoders for Causal Queries. AAAI 2022: 8159-8168 - [c33]Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. AAAI 2022: 9584-9594 - [c32]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. FAccT 2022: 1421-1433 - [c31]Adrián Javaloy, Isabel Valera:
RotoGrad: Gradient Homogenization in Multitask Learning. ICLR 2022 - [c30]Adrián Javaloy, Maryam Meghdadi, Isabel Valera:
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. ICML 2022: 9938-9964 - [e4]Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera:
International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. Proceedings of Machine Learning Research 151, PMLR 2022 [contents] - [i31]Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera:
Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. CoRR abs/2205.04790 (2022) - [i30]Adrián Javaloy, Maryam Meghdadi, Isabel Valera:
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. CoRR abs/2206.04496 (2022) - [i29]Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera:
Learnable Graph Convolutional Attention Networks. CoRR abs/2211.11853 (2022) - 2021
- [c29]Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera:
Scaling Guarantees for Nearest Counterfactual Explanations. AIES 2021: 177-187 - [c28]Jakob Schöffer, Niklas Kühl, Isabel Valera:
A Ranking Approach to Fair Classification. COMPASS 2021: 115-125 - [c27]Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera:
Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT 2021: 353-362 - [e3]Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I. Lecture Notes in Computer Science 12457, Springer 2021, ISBN 978-3-030-67657-5 [contents] - [e2]Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II. Lecture Notes in Computer Science 12458, Springer 2021, ISBN 978-3-030-67660-5 [contents] - [e1]Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera:
Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III. Lecture Notes in Computer Science 12459, Springer 2021, ISBN 978-3-030-67663-6 [contents] - [i28]Jakob Schöffer, Niklas Kühl, Isabel Valera:
A Ranking Approach to Fair Classification. CoRR abs/2102.04565 (2021) - [i27]Adrián Javaloy, Isabel Valera:
Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. CoRR abs/2103.02631 (2021) - [i26]Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera:
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries. CoRR abs/2110.14690 (2021) - 2020
- [j8]Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani:
General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. 21: 100:1-100:49 (2020) - [j7]Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera:
Handling incomplete heterogeneous data using VAEs. Pattern Recognit. 107: 107501 (2020) - [c26]Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera:
Fair Decisions Despite Imperfect Predictions. AISTATS 2020: 277-287 - [c25]Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera:
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS 2020: 895-905 - [c24]Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Towards Causal Algorithmic Recourse. xxAI@ICML 2020: 139-166 - [c23]Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS 2020 - [i25]Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera:
Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR abs/2002.06278 (2020) - [i24]Adrián Javaloy, Isabel Valera:
Lipschitz standardization for robust multivariate learning. CoRR abs/2002.11369 (2020) - [i23]Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera:
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR abs/2006.06831 (2020) - [i22]Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera:
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR abs/2010.04050 (2020) - [i21]Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera:
Scaling Guarantees for Nearest Counterfactual Explanations. CoRR abs/2010.04965 (2020) - [i20]Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf:
On the Fairness of Causal Algorithmic Recourse. CoRR abs/2010.06529 (2020)
2010 – 2019
- 2019
- [j6]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20: 75:1-75:42 (2019) - [c22]Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller:
One-Network Adversarial Fairness. AAAI 2019: 2412-2420 - [c21]Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. AAAI 2019: 5207-5215 - [i19]Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera:
Improving Consequential Decision Making under Imperfect Predictions. CoRR abs/1902.02979 (2019) - [i18]Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera:
Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR abs/1905.11190 (2019) - 2018
- [j5]Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. 4(2): 177-191 (2018) - [c20]Isabel Valera, Adish Singla, Manuel Gomez Rodriguez:
Enhancing the Accuracy and Fairness of Human Decision Making. NeurIPS 2018: 1774-1783 - [c19]Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch:
Boosting Black Box Variational Inference. NeurIPS 2018: 3405-3415 - [i17]Isabel Valera, Adish Singla, Manuel Gomez Rodriguez:
Enhancing the Accuracy and Fairness of Human Decision Making. CoRR abs/1805.10318 (2018) - [i16]Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch:
Boosting Black Box Variational Inference. CoRR abs/1806.02185 (2018) - [i15]Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera:
Handling Incomplete Heterogeneous Data using VAEs. CoRR abs/1807.03653 (2018) - [i14]Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera:
Automatic Bayesian Density Analysis. CoRR abs/1807.09306 (2018) - [i13]Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR abs/1810.09261 (2018) - 2017
- [c18]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: Mechanisms for Fair Classification. AISTATS 2017: 962-970 - [c17]Isabel Valera, Zoubin Ghahramani:
Automatic Discovery of the Statistical Types of Variables in a Dataset. ICML 2017: 3521-3529 - [c16]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller:
From Parity to Preference-based Notions of Fairness in Classification. NIPS 2017: 229-239 - [c15]Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM 2017: 61-70 - [c14]Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW 2017: 847-855 - [c13]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW 2017: 1171-1180 - [c12]Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez:
Modeling the Dynamics of Learning Activity on the Web. WWW 2017: 1421-1430 - [i12]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller:
From Parity to Preference-based Notions of Fairness in Classification. CoRR abs/1707.00010 (2017) - [i11]Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani:
General Latent Feature Modeling for Data Exploration Tasks. CoRR abs/1707.08352 (2017) - 2016
- [j4]Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz:
Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. 28(2): 354-381 (2016) - [j3]Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz:
Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. 38(9): 1816-1828 (2016) - [c11]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS 2016: 397-405 - [c10]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez:
On the Efficiency of the Information Networks in Social Media. WSDM 2016: 83-92 - [i10]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez:
On the Efficiency of the Information Networks in Social Media. CoRR abs/1603.04447 (2016) - [i9]Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez:
Modeling the Dynamics of Online Learning Activity. CoRR abs/1610.05775 (2016) - [i8]Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez:
Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR abs/1610.07472 (2016) - [i7]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR abs/1610.08452 (2016) - [i6]Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez:
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR abs/1612.04831 (2016) - 2015
- [c9]Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz:
A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO 2015: 2766-2770 - [c8]Isabel Valera, Manuel Gomez-Rodriguez:
Modeling Adoption and Usage of Competing Products. ICDM 2015: 409-418 - [c7]Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez:
On the Users' Efficiency in the Twitter Information Network. ICWSM 2015: 570-573 - [c6]Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz:
Infinite Factorial Dynamical Model. NIPS 2015: 1666-1674 - [i5]Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez:
Modeling Opinion Dynamics in Diffusion Networks. CoRR abs/1506.05474 (2015) - [i4]Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Fairness Constraints: A Mechanism for Fair Classification. CoRR abs/1507.05259 (2015) - 2014
- [j2]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. 15(1): 1215-1247 (2014) - [c5]Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz:
Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP 2014: 1-6 - [c4]Isabel Valera, Zoubin Ghahramani:
General Table Completion using a Bayesian Nonparametric Model. NIPS 2014: 981-989 - [c3]Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song:
Shaping Social Activity by Incentivizing Users. NIPS 2014: 2474-2482 - [i3]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR abs/1401.7620 (2014) - [i2]Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi:
Modeling Diffusion of Competing Products and Conventions in Social Media. CoRR abs/1406.0516 (2014) - [i1]Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song:
Shaping Social Activity by Incentivizing Users. CoRR abs/1408.0406 (2014) - 2013
- [j1]Isabel Valera, Bamrung Tau Sieskul, Joaquín Míguez:
On the maximum likelihood estimation of the ToA under an imperfect path loss exponent. EURASIP J. Wirel. Commun. Netw. 2013: 158 (2013) - 2012
- [c2]Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz:
Bayesian Nonparametric Modeling of Suicide Attempts. NIPS 2012: 1862-1870 - 2010
- [c1]Maria Isabel Valera Martinez, Bamrung Tau Sieskul, Feng Zheng, Thomas Kaiser:
A hybrid SS-TOA wireless geolocation based on path attenuation under imperfect path loss exponent. EUSIPCO 2010: 681-685
Coauthor Index
Manuel Gomez-Rodriguez
aka: Manuel Gomez Rodriguez
aka: Manuel Gomez Rodriguez
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