Isabel Valera

Publication Activity (10 Years)

Years Active: 2012-2024
Publications (10 Years): 68

Top Topics

Channel Estimation

Dynamical Model

Decision Making

Top Venues

Publications

Pablo Sánchez-Martín, Kinaan Aamir Khan, Isabel Valera
Improving the interpretability of GNN predictions through conformal-based graph sparsification. CoRR (2024)
Pablo Sánchez-Martín, Sonja Utz, Isabel Valera
Exploring the Boundaries of Ambient Awareness in Twitter. CoRR (2024)
Miriam Rateike, Isabel Valera, Patrick Forré
Designing Long-term Group Fair Policies in Dynamical Systems. FAccT (2024)
Ayan Majumdar, Isabel Valera
CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale. FAccT (2024)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions over Functions. ICML (2023)
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations. ACM Comput. Surv. 55 (5) (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
Causal normalizing flows: from theory to practice. NeurIPS (2023)
Miriam Rateike, Isabel Valera, Patrick Forré
Designing Long-term Group Fair Policies in Dynamical Systems. CoRR (2023)
Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera
Variational Mixture of HyperGenerators for Learning Distributions Over Functions. CoRR (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
Learnable Graph Convolutional Attention Networks. ICLR (2023)
Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera
Causal normalizing flows: from theory to practice. CoRR (2023)
Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. AAAI (2022)
Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera
Learnable Graph Convolutional Attention Networks. CoRR (2022)
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
VACA: Designing Variational Graph Autoencoders for Causal Queries. AAAI (2022)
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)
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 (2022)
Adrián Javaloy, Isabel Valera
RotoGrad: Gradient Homogenization in Multitask Learning. ICLR (2022)
Adrián Javaloy, Maryam Meghdadi, Isabel Valera
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. ICML (2022)
Adrián Javaloy, Maryam Meghdadi, Isabel Valera
Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization. CoRR (2022)
Jakob Schöffer, Niklas Kuehl, Isabel Valera
A Ranking Approach to Fair Classification. COMPASS (2021)
Adrián Javaloy, Isabel Valera
Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning. CoRR (2021)
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
Algorithmic Recourse: from Counterfactual Explanations to Interventions. FAccT (2021)
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
Scaling Guarantees for Nearest Counterfactual Explanations. AIES (2021)
Jakob Schöffer, Niklas Kühl, Isabel Valera
A Ranking Approach to Fair Classification. CoRR (2021)
Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera
VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries. CoRR (2021)
Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani
General Latent Feature Models for Heterogeneous Datasets. J. Mach. Learn. Res. 21 (2020)
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf
On the Fairness of Causal Algorithmic Recourse. CoRR (2020)
Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
Fair Decisions Despite Imperfect Predictions. AISTATS (2020)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. AISTATS (2020)
Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
Handling incomplete heterogeneous data using VAEs. Pattern Recognit. 107 (2020)
Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. NeurIPS (2020)
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera
Algorithmic Recourse: from Counterfactual Explanations to Interventions. CoRR (2020)
Adrián Javaloy, Isabel Valera
Lipschitz standardization for robust multivariate learning. CoRR (2020)
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera
Scaling Guarantees for Nearest Counterfactual Explanations. CoRR (2020)
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Algorithmic recourse under imperfect causal knowledge: a probabilistic approach. CoRR (2020)
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera
Towards Causal Algorithmic Recourse. xxAI@ICML (2020)
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera
A survey of algorithmic recourse: definitions, formulations, solutions, and prospects. CoRR (2020)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Flexible Approach for Fair Classification. J. Mach. Learn. Res. 20 (2019)
Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera
Improving Consequential Decision Making under Imperfect Predictions. CoRR (2019)
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera
Model-Agnostic Counterfactual Explanations for Consequential Decisions. CoRR (2019)
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
Automatic Bayesian Density Analysis. AAAI (2019)
Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller
One-Network Adversarial Fairness. AAAI (2019)
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
Boosting Black Box Variational Inference. NeurIPS (2018)
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch
Boosting Black Box Variational Inference. CoRR (2018)
Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
Enhancing the Accuracy and Fairness of Human Decision Making. NeurIPS (2018)
Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera
Handling Incomplete Heterogeneous Data using VAEs. CoRR (2018)
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) (2018)
Isabel Valera, Adish Singla, Manuel Gomez Rodriguez
Enhancing the Accuracy and Fairness of Human Decision Making. CoRR (2018)
Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz
Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation. CoRR (2018)
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera
Automatic Bayesian Density Analysis. CoRR (2018)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller
From Parity to Preference-based Notions of Fairness in Classification. CoRR (2017)
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)
Isabel Valera, Zoubin Ghahramani
Automatic Discovery of the Statistical Types of Variables in a Dataset. ICML (2017)
Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani
General Latent Feature Modeling for Data Exploration Tasks. CoRR (2017)
Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
Modeling the Dynamics of Learning Activity on the Web. WWW (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: Mechanisms for Fair Classification. AISTATS (2017)
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. WSDM (2017)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. WWW (2017)
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Distilling Information Reliability and Source Trustworthiness from Digital Traces. WWW (2017)
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez
Uncovering the Dynamics of Crowdlearning and the Value of Knowledge. CoRR (2016)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment. CoRR (2016)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Learning and Forecasting Opinion Dynamics in Social Networks. NIPS (2016)
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez
Distilling Information Reliability and Source Trustworthiness from Digital Traces. CoRR (2016)
Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez
Modeling the Dynamics of Online Learning Activity. CoRR (2016)
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez
On the Efficiency of the Information Networks in Social Media. CoRR (2016)
Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
Infinite Factorial Unbounded-State Hidden Markov Model. IEEE Trans. Pattern Anal. Mach. Intell. 38 (9) (2016)
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) (2016)
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)
Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
Infinite Factorial Dynamical Model. NIPS (2015)
Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz
A Bayesian nonparametric approach for blind multiuser channel estimation. EUSIPCO (2015)
Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez
On the Users' Efficiency in the Twitter Information Network. ICWSM (2015)
Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez
Modeling Opinion Dynamics in Diffusion Networks. CoRR (2015)
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Fairness Constraints: A Mechanism for Fair Classification. CoRR (2015)
Isabel Valera, Manuel Gomez-Rodriguez
Modeling Adoption and Usage of Competing Products. ICDM (2015)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian nonparametric comorbidity analysis of psychiatric disorders. J. Mach. Learn. Res. 15 (1) (2014)
Isabel Valera, Zoubin Ghahramani
General Table Completion using a Bayesian Nonparametric Model. NIPS (2014)
Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
Shaping Social Activity by Incentivizing Users. CoRR (2014)
Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi
Modeling Diffusion of Competing Products and Conventions in Social Media. CoRR (2014)
Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song
Shaping Social Activity by Incentivizing Users. NIPS (2014)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian nonparametric comorbidity analysis of psychiatric disorders. CoRR (2014)
Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz
Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation. CIP (2014)
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 (2013)
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz
Bayesian Nonparametric Modeling of Suicide Attempts. NIPS (2012)