Valera, Isabel

34 publications

AAAI 2025 A Practical Approach to Causal Inference over Time Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera

NeurIPS 2025 DeCaFlow: A Deconfounding Causal Generative Model Alejandro Almodóvar, Adrián Javaloy, Juan Parras, Santiago Zazo, Isabel Valera

ICML 2025 Hyper-Transforming Latent Diffusion Models Ignacio Peis, Batuhan Koyuncu, Isabel Valera, Jes Frellsen

ICMLW 2024 E-ProTran: Efficient Probabilistic Transformers for Forecasting Batuhan Koyuncu, Tim Nico Bauerschmidt, Isabel Valera

ICMLW 2024 From Laboratory to Everyday Life: Personalized Stress Prediction via Smartwatches Batuhan Koyuncu, Aleyna Dilan Kıran, Katja Heilmann, Laith Hamid, Anja Buder, Veronika Engert, Martin Walter, Isabel Valera

NeurIPS 2023 Causal Normalizing Flows: From Theory to Practice Adrián Javaloy, Pablo Sanchez-Martin, Isabel Valera

ICLR 2023 Learnable Graph Convolutional Attention Networks Adrián Javaloy, Pablo Sanchez Martin, Amit Levi, Isabel Valera

ICML 2023 Variational Mixture of HyperGenerators for Learning Distributions over Functions Batuhan Koyuncu, Pablo Sanchez Martin, Ignacio Peis, Pablo M. Olmos, Isabel Valera

NeurIPSW 2022 Learnable Graph Convolutional Attention Networks Adrián Javaloy, Pablo Sanchez Martin, Amit Levi, Isabel Valera

ICML 2022 Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization Adrian Javaloy, Maryam Meghdadi, Isabel Valera

AAAI 2022 On the Fairness of Causal Algorithmic Recourse Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

ICLR 2022 RotoGrad: Gradient Homogenization in Multitask Learning Adrián Javaloy, Isabel Valera

AAAI 2022 VACA: Designing Variational Graph Autoencoders for Causal Queries Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera

NeurIPS 2020 Algorithmic Recourse Under Imperfect Causal Knowledge: A Probabilistic Approach Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera

AISTATS 2020 Fair Decisions Despite Imperfect Predictions Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera

JMLR 2020 General Latent Feature Models for Heterogeneous Datasets Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part I Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera

ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part II Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera

ECML-PKDD 2020 Machine Learning and Knowledge Discovery in Databases - European Conference, ECML PKDD 2020, Ghent, Belgium, September 14-18, 2020, Proceedings, Part III Frank Hutter, Kristian Kersting, Jefrey Lijffijt, Isabel Valera

AISTATS 2020 Model-Agnostic Counterfactual Explanations for Consequential Decisions Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera

AAAI 2019 Automatic Bayesian Density Analysis Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

JMLR 2019 Fairness Constraints: A Flexible Approach for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

AAAI 2019 One-Network Adversarial Fairness Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

NeurIPS 2018 Boosting Black Box Variational Inference Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Raetsch

NeurIPS 2018 Enhancing the Accuracy and Fairness of Human Decision Making Isabel Valera, Adish Singla, Manuel Gomez Rodriguez

ICML 2017 Automatic Discovery of the Statistical Types of Variables in a Dataset Isabel Valera, Zoubin Ghahramani

AISTATS 2017 Fairness Constraints: Mechanisms for Fair Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

NeurIPS 2017 From Parity to Preference-Based Notions of Fairness in Classification Muhammad Bilal Zafar, Isabel Valera, Manuel Rodriguez, Krishna Gummadi, Adrian Weller

NeurIPS 2016 Learning and Forecasting Opinion Dynamics in Social Networks Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez Rodriguez

NeurIPS 2015 Infinite Factorial Dynamical Model Isabel Valera, Francisco Ruiz, Lennart Svensson, Fernando Perez-Cruz

JMLR 2014 Bayesian Nonparametric Comorbidity Analysis of Psychiatric Disorders Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz

NeurIPS 2014 General Table Completion Using a Bayesian Nonparametric Model Isabel Valera, Zoubin Ghahramani

NeurIPS 2014 Shaping Social Activity by Incentivizing Users Mehrdad Farajtabar, Nan Du, Manuel Gomez Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

NeurIPS 2012 Bayesian Nonparametric Modeling of Suicide Attempts Francisco Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz