Isabel Valera - RankMe

108 papers A* 20A 7C 2Journal 59Unranked 17

Year	Rank	Type	Title / Venue / Authors
2026	A*	`conf`	A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination. AAAI Ayan Majumdar, Deborah Dormah Kanubala, Kavya Gupta, Isabel Valera
2026	J	`jnl`	Hellinger Multimodal Variational Autoencoders. CoRR Huyen Khanh Vo, Isabel Valera
2026	J	`jnl`	Per-Domain Generalizing Policies: On Learning Efficient and Robust Q-Value Functions (Extended Version with Technical Appendix). CoRR Nicola J. Müller, Moritz Oster, Isabel Valera, Jörg Hoffmann, Timo P. Gros
2026	J	`jnl`	Personalizing explanations in AI-based decisions: The effects of personalization and (mis)aligning with individual preferences. Comput. Hum. Behav. Richard Uth, Nelli Niemitz, Isabel Valera, Markus Langer
2025	J	`jnl`	A Causal Framework to Measure and Mitigate Non-binary Treatment Discrimination. CoRR Ayan Majumdar, Deborah Dormah Kanubala, Kavya Gupta, Isabel Valera
2025	A*	`conf`	A Practical Approach to Causal Inference over Time. AAAI Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera
2025	—	`conf`	Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches. EMNLP (Findings) Israel Abebe Azime, Deborah Dormah Kanubala, Tejumade Afonja, Mario Fritz, Isabel Valera, Dietrich Klakow, Philipp Slusallek
2025	J	`jnl`	Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches. CoRR Israel Abebe Azime, Deborah Dormah Kanubala, Tejumade Afonja, Mario Fritz, Isabel Valera, Dietrich Klakow, Philipp Slusallek
2025	J	`jnl`	Bridging Fairness and Explainability: Can Input-Based Explanations Promote Fairness in Hate Speech Detection? CoRR Yifan Wang, Mayank Jobanputra, Ji-Ung Lee, Soyoung Oh, Isabel Valera, Vera Demberg
2025	J	`jnl`	COPA: Comparing the Incomparable to Explore the Pareto Front. CoRR Adrián Javaloy, Antonio Vergari, Isabel Valera
2025	J	`jnl`	DeCaFlow: A Deconfounding Causal Generative Model. CoRR Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera
2025	A*	`conf`	Hyper-Transforming Latent Diffusion Models. ICML Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen
2025	J	`jnl`	Hyper-Transforming Latent Diffusion Models. CoRR Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen
2025	J	`jnl`	Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior. CoRR Timo P. Gros, Nicola J. Müller, Daniel Fiser, Isabel Valera, Verena Wolf, Jörg Hoffmann
2025	J	`jnl`	Temporal Variational Implicit Neural Representations. CoRR Batuhan Koyuncu, Rachael DeVries, Ole Winther, Isabel Valera
2025	J	`jnl`	Towards Reasonable Concept Bottleneck Models. CoRR Nektarios Kalampalikis, Kavya Gupta, Georgi Vitanov, Isabel Valera
2024	J	`jnl`	A Practical Approach to Causal Inference over Time. CoRR Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera
2024	—	`conf`	CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. FAccT Ayan Majumdar, Isabel Valera
2024	—	`conf`	Designing Long-term Group Fair Policies in Dynamical Systems. FAccT Miriam Rateike, Isabel Valera, Patrick Forré
2024	—	`conf`	Enhancing Fairness Through Time-aware Recourse: a Pathway to Realistic Algorithmic Recommendations. EWAF Isacco Beretta, Martina Cinquini, Isabel Valera
2024	J	`jnl`	Exploring the Boundaries of Ambient Awareness in Twitter. CoRR Pablo Sánchez-Martín, Sonja Utz, Isabel Valera
2024	—	`conf`	Fairness Beyond Binary Decisions: a Case Study on German Credit. EWAF Deborah Dormah Kanubala, Isabel Valera, Kavya Gupta
2024	J	`jnl`	Improving the interpretability of GNN predictions through conformal-based graph sparsification. CoRR Pablo Sánchez-Martín, Kinaan Aamir Khan, Isabel Valera
2024	J	`jnl`	Probabilistic neural transfer function estimation with Bayesian system identification. PLoS Comput. Biol. Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander S. Ecker, Thomas Euler, Yongrong Qiu
2023	J	`jnl`	A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
2023	A*	`conf`	Causal normalizing flows: from theory to practice. NeurIPS Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
2023	J	`jnl`	Causal normalizing flows: from theory to practice. CoRR Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
2023	J	`jnl`	Designing Long-term Group Fair Policies in Dynamical Systems. CoRR Miriam Rateike, Isabel Valera, Patrick Forré
2023	A*	`conf`	Learnable Graph Convolutional Attention Networks. ICLR Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
2023	—	`conf`	Leveraging Actionable Explanations to Improve People's Reactions to AI-Based Decisions. AISoLA (Selected Papers) Markus Langer, Isabel Valera
2023	J	`jnl`	Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2023	A*	`conf`	Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
2022	—	`conf`	Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. FAccT Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
2022	J	`jnl`	Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making. CoRR Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera
2022	A	`ed.`	International Conference on Artificial Intelligence and Statistics, AISTATS 2022, 28-30 March 2022, Virtual Event. AISTATS Gustau Camps-Valls, Francisco J. R. Ruiz, Isabel Valera
2022	J	`jnl`	Learnable Graph Convolutional Attention Networks. CoRR Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
2022	A*	`conf`	Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. ICML Adrián Javaloy, Maryam Meghdadi, Isabel Valera
2022	J	`jnl`	Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. CoRR Adrián Javaloy, Maryam Meghdadi, Isabel Valera
2022	A*	`conf`	On the Fairness of Causal Algorithmic Recourse. AAAI Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2022	A*	`conf`	RotoGrad: Gradient Homogenization in Multitask Learning. ICLR Adrián Javaloy, Isabel Valera
2022	A*	`conf`	VACA: Designing Variational Graph Autoencoders for Causal Queries. AAAI Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
2021	C	`conf`	A Ranking Approach to Fair Classification. COMPASS Jakob Schöffer, Niklas Kühl, Isabel Valera
2021	J	`jnl`	A Ranking Approach to Fair Classification. CoRR Jakob Schöffer, Niklas Kühl, Isabel Valera
2021	—	`conf`	Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I ECML/PKDD (1) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II ECML/PKDD (2) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	—	`ed.`	Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III PKDD/ECML (3) Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera
2021	J	`jnl`	Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. CoRR Adrián Javaloy, Isabel Valera
2021	C	`conf`	Scaling Guarantees for Nearest Counterfactual Explanations. AIES Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
2021	J	`jnl`	VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries. CoRR Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
2020	J	`jnl`	A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
2020	J	`jnl`	Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
2020	A*	`conf`	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2020	J	`jnl`	Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2020	A	`conf`	Fair Decisions Despite Imperfect Predictions. AISTATS Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
2020	J	`jnl`	General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani
2020	J	`jnl`	Handling incomplete heterogeneous data using VAEs. Pattern Recognit. Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
2020	J	`jnl`	Lipschitz standardization for robust multivariate learning. CoRR Adrián Javaloy, Isabel Valera
2020	A	`conf`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2020	J	`jnl`	On the Fairness of Causal Algorithmic Recourse. CoRR Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
2020	J	`jnl`	Scaling Guarantees for Nearest Counterfactual Explanations. CoRR Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
2020	—	`conf`	Towards Causal Algorithmic Recourse. xxAI@ICML Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
2019	A*	`conf`	Automatic Bayesian Density Analysis. AAAI Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2019	J	`jnl`	Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2019	J	`jnl`	Improving Consequential Decision Making under Imperfect Predictions. CoRR Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
2019	J	`jnl`	Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
2019	A*	`conf`	One-Network Adversarial Fairness. AAAI Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller
2018	J	`jnl`	Automatic Bayesian Density Analysis. CoRR Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
2018	A*	`conf`	Boosting Black Box Variational Inference. NeurIPS Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
2018	J	`jnl`	Boosting Black Box Variational Inference. CoRR Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
2018	A*	`conf`	Enhancing the Accuracy and Fairness of Human Decision Making. NeurIPS Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
2018	J	`jnl`	Enhancing the Accuracy and Fairness of Human Decision Making. CoRR Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
2018	J	`jnl`	Handling Incomplete Heterogeneous Data using VAEs. CoRR Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2018	J	`jnl`	Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. IEEE Trans. Cogn. Commun. Netw. Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
2017	A*	`conf`	Automatic Discovery of the Statistical Types of Variables in a Dataset. ICML Isabel Valera, Zoubin Ghahramani
2017	A*	`conf`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2017	A*	`conf`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	A	`conf`	Fairness Constraints: Mechanisms for Fair Classification. AISTATS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2017	—	`conf`	From Parity to Preference-based Notions of Fairness in Classification. NIPS Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	From Parity to Preference-based Notions of Fairness in Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
2017	J	`jnl`	General Latent Feature Modeling for Data Exploration Tasks. CoRR Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani
2017	A*	`conf`	Modeling the Dynamics of Learning Activity on the Web. WWW Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
2017	A	`conf`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2016	J	`jnl`	Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
2016	J	`jnl`	Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2016	J	`jnl`	Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis. Neural Comput. Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz
2016	J	`jnl`	Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2016	—	`conf`	Learning and Forecasting Opinion Dynamics in Social Networks. NIPS Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2016	J	`jnl`	Modeling the Dynamics of Online Learning Activity. CoRR Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
2016	A	`conf`	On the Efficiency of the Information Networks in Social Media. WSDM Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
2016	J	`jnl`	On the Efficiency of the Information Networks in Social Media. CoRR Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
2016	J	`jnl`	Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
2015	—	`conf`	A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2015	J	`jnl`	Fairness Constraints: A Mechanism for Fair Classification. CoRR Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2015	—	`conf`	Infinite Factorial Dynamical Model. NIPS Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
2015	A*	`conf`	Modeling Adoption and Usage of Competing Products. ICDM Isabel Valera, Manuel Gomez-Rodriguez
2015	J	`jnl`	Modeling Opinion Dynamics in Diffusion Networks. CoRR Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
2015	A	`conf`	On the Users' Efficiency in the Twitter Information Network. ICWSM Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	J	`jnl`	Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
2014	—	`conf`	General Table Completion using a Bayesian Nonparametric Model. NIPS Isabel Valera, Zoubin Ghahramani
2014	J	`jnl`	Modeling Diffusion of Competing Products and Conventions in Social Media. CoRR Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
2014	—	`conf`	Shaping Social Activity by Incentivizing Users. NIPS Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	J	`jnl`	Shaping Social Activity by Incentivizing Users. CoRR Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
2014	—	`conf`	Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
2013	J	`jnl`	On the maximum likelihood estimation of the ToA under an imperfect path loss exponent. EURASIP J. Wirel. Commun. Netw. Isabel Valera, Bamrung Tau Sieskul, Joaquín Míguez
2012	—	`conf`	Bayesian Nonparametric Modeling of Suicide Attempts. NIPS Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz