Isabel Valera

According to our database, Isabel Valera authored at least 63 papers between 2010 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Probabilistic neural transfer function estimation with Bayesian system identification.

Nan Wu, Isabel Valera, Fabian H. Sinz, Alexander S. Ecker, Thomas Euler, Yongrong Qiu

PLoS Comput. Biol., 2024

A Practical Approach to Causal Inference over Time.

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri, Isabel Valera

CoRR, 2024

Improving the interpretability of GNN predictions through conformal-based graph sparsification.

Pablo Sánchez-Martín, Kinaan Aamir Khan, Isabel Valera

CoRR, 2024

Exploring the Boundaries of Ambient Awareness in Twitter.

Pablo Sánchez-Martín, Sonja Utz, Isabel Valera

CoRR, 2024

Designing Long-term Group Fair Policies in Dynamical Systems.

Miriam Rateike, Isabel Valera, Patrick Forré

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

CARMA: A practical framework to generate recommendations for causal algorithmic recourse at scale.

Ayan Majumdar, Isabel Valera

Proceedings of the 2024 ACM Conference on Fairness, Accountability, and Transparency, 2024

2023

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations.

Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera

ACM Comput. Surv., 2023

Leveraging Actionable Explanations to Improve People's Reactions to AI-Based Decisions.

Markus Langer, Isabel Valera

Proceedings of the Bridging the Gap Between AI and Reality, 2023

Causal normalizing flows: from theory to practice.

Adrián Javaloy, Pablo Sánchez-Martín, Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Variational Mixture of HyperGenerators for Learning Distributions over Functions.

Batuhan Koyuncu, Pablo Sánchez-Martín, Ignacio Peis, Pablo M. Olmos, Isabel Valera

Proceedings of the International Conference on Machine Learning, 2023

Learnable Graph Convolutional Attention Networks.

Adrián Javaloy, Pablo Sánchez-Martín, Amit Levi, Isabel Valera

Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022

Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization.

Adrián Javaloy, Maryam Meghdadi, Isabel Valera

Proceedings of the International Conference on Machine Learning, 2022

RotoGrad: Gradient Homogenization in Multitask Learning.

Adrián Javaloy, Isabel Valera

Proceedings of the Tenth International Conference on Learning Representations, 2022

Don't Throw it Away! The Utility of Unlabeled Data in Fair Decision Making.

Miriam Rateike, Ayan Majumdar, Olga Mineeva, Krishna P. Gummadi, Isabel Valera

Proceedings of the FAccT '22: 2022 ACM Conference on Fairness, Accountability, and Transparency, Seoul, Republic of Korea, June 21, 2022

VACA: Designing Variational Graph Autoencoders for Causal Queries.

Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

On the Fairness of Causal Algorithmic Recourse.

Julius von Kügelgen, Amir-Hossein Karimi, Umang Bhatt, Isabel Valera, Adrian Weller, Bernhard Schölkopf

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

VACA: Design of Variational Graph Autoencoders for Interventional and Counterfactual Queries.

Pablo Sánchez-Martín, Miriam Rateike, Isabel Valera

CoRR, 2021

Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning.

Adrián Javaloy, Isabel Valera

CoRR, 2021

Algorithmic Recourse: from Counterfactual Explanations to Interventions.

Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera

Proceedings of the FAccT '21: 2021 ACM Conference on Fairness, 2021

A Ranking Approach to Fair Classification.

Jakob Schöffer, Niklas Kühl, Isabel Valera

Proceedings of the COMPASS '21: ACM SIGCAS Conference on Computing and Sustainable Societies, Virtual Event, Australia, 28 June 2021, 2021

Scaling Guarantees for Nearest Counterfactual Explanations.

Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera

Proceedings of the AIES '21: AAAI/ACM Conference on AI, 2021

2020

Handling incomplete heterogeneous data using VAEs.

Alfredo Nazábal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera

Pattern Recognit., 2020

General Latent Feature Models for Heterogeneous Datasets.

Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

J. Mach. Learn. Res., 2020

A survey of algorithmic recourse: definitions, formulations, solutions, and prospects.

Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera

CoRR, 2020

Lipschitz standardization for robust multivariate learning.

Adrián Javaloy, Isabel Valera

CoRR, 2020

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach.

Amir-Hossein Karimi, Bodo Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Towards Causal Algorithmic Recourse.

Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera

Proceedings of the xxAI - Beyond Explainable AI, 2020

Fair Decisions Despite Imperfect Predictions.

Niki Kilbertus, Manuel Gomez Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

Model-Agnostic Counterfactual Explanations for Consequential Decisions.

Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Fairness Constraints: A Flexible Approach for Fair Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

J. Mach. Learn. Res., 2019

Improving Consequential Decision Making under Imperfect Predictions.

Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera

CoRR, 2019

Automatic Bayesian Density Analysis.

Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

One-Network Adversarial Fairness.

Tameem Adel, Isabel Valera, Zoubin Ghahramani, Adrian Weller

Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation.

Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Pérez-Cruz

IEEE Trans. Cogn. Commun. Netw., 2018

Enhancing the Accuracy and Fairness of Human Decision Making.

Isabel Valera, Adish Singla, Manuel Gomez Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Boosting Black Box Variational Inference.

Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch

Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017

General Latent Feature Modeling for Data Exploration Tasks.

Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani

CoRR, 2017

Fairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

Proceedings of the 26th International Conference on World Wide Web, 2017

Distilling Information Reliability and Source Trustworthiness from Digital Traces.

Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez

Proceedings of the 26th International Conference on World Wide Web, 2017

Modeling the Dynamics of Learning Activity on the Web.

Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez

Proceedings of the 26th International Conference on World Wide Web, 2017

Uncovering the Dynamics of Crowdlearning and the Value of Knowledge.

Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez

Proceedings of the Tenth ACM International Conference on Web Search and Data Mining, 2017

From Parity to Preference-based Notions of Fairness in Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi, Adrian Weller

Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

Automatic Discovery of the Statistical Types of Variables in a Dataset.

Isabel Valera, Zoubin Ghahramani

Proceedings of the 34th International Conference on Machine Learning, 2017

Fairness Constraints: Mechanisms for Fair Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Infinite Factorial Unbounded-State Hidden Markov Model.

Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis.

Isabel Valera, Francisco J. R. Ruiz, Pablo M. Olmos, Carlos Blanco, Fernando Pérez-Cruz

Neural Comput., 2016

Modeling the Dynamics of Online Learning Activity.

Charalampos Mavroforakis, Isabel Valera, Manuel Gomez-Rodriguez

CoRR, 2016

On the Efficiency of the Information Networks in Social Media.

Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Krishna P. Gummadi, Manuel Gomez-Rodriguez

Proceedings of the Ninth ACM International Conference on Web Search and Data Mining, 2016

Learning and Forecasting Opinion Dynamics in Social Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Fairness Constraints: A Mechanism for Fair Classification.

Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

CoRR, 2015

Modeling Opinion Dynamics in Diffusion Networks.

Abir De, Isabel Valera, Niloy Ganguly, Sourangshu Bhattacharya, Manuel Gomez-Rodriguez

CoRR, 2015

Infinite Factorial Dynamical Model.

Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015

On the Users' Efficiency in the Twitter Information Network.

Mahmoudreza Babaei, Przemyslaw A. Grabowicz, Isabel Valera, Manuel Gomez-Rodriguez

Proceedings of the Ninth International Conference on Web and Social Media, 2015

Modeling Adoption and Usage of Competing Products.

Isabel Valera, Manuel Gomez-Rodriguez

Proceedings of the 2015 IEEE International Conference on Data Mining, 2015

A Bayesian nonparametric approach for blind multiuser channel estimation.

Isabel Valera, Francisco J. R. Ruiz, Lennart Svensson, Fernando Pérez-Cruz

Proceedings of the 23rd European Signal Processing Conference, 2015

2014

Bayesian nonparametric comorbidity analysis of psychiatric disorders.

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz

J. Mach. Learn. Res., 2014

Modeling Diffusion of Competing Products and Conventions in Social Media.

Isabel Valera, Manuel Gomez-Rodriguez, Krishna P. Gummadi

CoRR, 2014

General Table Completion using a Bayesian Nonparametric Model.

Isabel Valera, Zoubin Ghahramani

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Shaping Social Activity by Incentivizing Users.

Mehrdad Farajtabar, Nan Du, Manuel Gomez-Rodriguez, Isabel Valera, Hongyuan Zha, Le Song

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Sinfinite factorial unbounded hidden Markov model for blind multiuser channel estimation.

Isabel Valera, Francisco J. R. Ruiz, Fernando Pérez-Cruz

Proceedings of the 4th International Workshop on Cognitive Information Processing, 2014

2013

On the maximum likelihood estimation of the ToA under an imperfect path loss exponent.

Isabel Valera, Bamrung Tau Sieskul, Joaquín Míguez

EURASIP J. Wirel. Commun. Netw., 2013

2012

Bayesian Nonparametric Modeling of Suicide Attempts.

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Pérez-Cruz

Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2010

A hybrid SS-TOA wireless geolocation based on path attenuation under imperfect path loss exponent.

Maria Isabel Valera Martinez, Bamrung Tau Sieskul, Feng Zheng, Thomas Kaiser

Proceedings of the 18th European Signal Processing Conference, 2010