I. Valera

发表

Krishna P. Gummadi, Muhammad Bilal Zafar, Isabel Valera, 2015, 1507.05259.

Infinite Factorial Unbounded-State Hidden Markov Model

Fernando Pérez-Cruz, Francisco J. R. Ruiz, Isabel Valera, 2016, IEEE Transactions on Pattern Analysis and Machine Intelligence.

Fairness Constraints: Mechanisms for Fair Classification

Krishna P. Gummadi, Muhammad Bilal Zafar, Isabel Valera, 2015, AISTATS.

Fairness Constraints: A Flexible Approach for Fair Classification

Krishna P. Gummadi, Manuel Gomez-Rodriguez, Muhammad Bilal Zafar, 2019, J. Mach. Learn. Res..

From Parity to Preference-based Notions of Fairness in Classification

Krishna P. Gummadi, Adrian Weller, Muhammad Bilal Zafar, 2017, NIPS.

Learning Opinion Dynamics in Social Networks

Manuel Gomez Rodriguez, I. Valera, A. De, 2015 .

On the Users' Efficiency in the Twitter Information Network

Isabel Valera, Manuel Gomez-Rodriguez, Przemyslaw A. Grabowicz, 2015, ICWSM.

General Latent Feature Modeling for Data Exploration Tasks pdf

Zoubin Ghahramani, Isabel Valera, Melanie F. Pradier, 2017, ArXiv.

A Survey of Algorithmic Recourse: Contrastive Explanations and Consequential Recommendations

B. Schölkopf, I. Valera, A. Karimi, 2022, ACM Comput. Surv..

Learning with Temporal Point Processes

Isabel Valera, I. Valera, 2018 .

A HYBRID SS-TOA WIRELESS GEOLOCATION BASED ON PATH ATTENUATION: ROBUSTNESS INVESTIGATION UNDER IMPERFECT PATH LOSS EXPONENT

I. Valera, 2009 .

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

Bernhard Schölkopf, Gilles Barthe, Amir-Hossein Karimi, 2020, ArXiv.

VACA: Designing Variational Graph Autoencoders for Causal Queries

I. Valera, Pablo Sánchez-Martín, Miriam Rateike, 2022, AAAI.

Mitigating Modality Collapse in Multimodal VAEs via Impartial Optimization

I. Valera, Adrián Javaloy, Maryam Meghdadi, 2022, ICML.

Fair Decisions Despite Imperfect Predictions

Krikamol Muandet, Bernhard Scholkopf, Manuel Gomez-Rodriguez, 2019, AISTATS.

Handling Incomplete Heterogeneous Data using VAEs pdf

Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera, 2018, Pattern Recognit..

Rotograd: Dynamic Gradient Homogenization for Multi-Task Learning

I. Valera, Adrián Javaloy, 2021, ArXiv.

General Latent Feature Models for Heterogeneous Datasets

Zoubin Ghahramani, Isabel Valera, Melanie F. Pradier, 2017, J. Mach. Learn. Res..

General Table Completion using a Bayesian Nonparametric Model

Zoubin Ghahramani, Isabel Valera, Zoubin Ghahramani, 2014, NIPS.

One-Network Adversarial Fairness

Zoubin Ghahramani, Adrian Weller, Isabel Valera, 2019, AAAI.

Algorithmic Recourse: from Counterfactual Explanations to Interventions

Bernhard Schölkopf, Amir-Hossein Karimi, Isabel Valera, 2020, FAccT.

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

Krishna P. Gummadi, Muhammad Bilal Zafar, Isabel Valera, 2016, WWW.

RotoGrad: Gradient Homogenization in Multitask Learning

I. Valera, Adrián Javaloy, Isabel Valera, 2021, ICLR.

Bayesian nonparametric comorbidity analysis of psychiatric disorders pdf

Fernando Pérez-Cruz, Francisco J. R. Ruiz, Isabel Valera, 2014, J. Mach. Learn. Res..

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

Bernhard Schölkopf, Amir-Hossein Karimi, Isabel Valera, 2020, ArXiv.

Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Julius von Kügelgen, B. Schölkopf, I. Valera, 2020, NeurIPS.

Model-Agnostic Counterfactual Explanations for Consequential Decisions pdf

Amir-Hossein Karimi, Gilles Barthe, Borja Balle, 2019, AISTATS.

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

Bamrung Tau Sieskul, J. Míguez, I. Valera, 2013, EURASIP J. Wirel. Commun. Netw..

Towards Causal Algorithmic Recourse

Julius von Kügelgen, B. Schölkopf, I. Valera, 2020, xxAI@ICML.

Learnable Graph Convolutional Attention Networks

I. Valera, Amit Levi, Pablo Sánchez-Martín, 2022, ICLR.

A Ranking Approach to Fair Classification

Isabel Valera, Niklas Kuehl, Jakob Schoeffer, 2021, COMPASS.

Causal normalizing flows: from theory to practice

I. Valera, Adrián Javaloy, Pablo S'anchez-Mart'in, 2023, ArXiv.

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

Isabel Valera, Pablo Sanchez-Martin, Miriam Rateike, 2021, ArXiv.

Variational Mixture of HyperGenerators for Learning Distributions Over Functions

I. Valera, P. Olmos, Batuhan Koyuncu, 2023, arXiv.org.

Learning and Forecasting Opinion Dynamics in Social Networks

Niloy Ganguly, Sourangshu Bhattacharya, Isabel Valera, 2015, NIPS.

Modeling Diffusion of Competing Products and Conventions in Social Media pdf

Krishna P. Gummadi, Isabel Valera, Manuel Gomez-Rodriguez, 2014, NIPS 2014.

Modeling the Dynamics of Learning Activity on the Web

Isabel Valera, Manuel Gomez-Rodriguez, Charalampos Mavroforakis, 2017, WWW.

Shaping Social Activity by Incentivizing Users

Le Song, Hongyuan Zha, Mehrdad Farajtabar, 2014, NIPS.

Automatic Bayesian Density Analysis pdf

Kristian Kersting, Robert Peharz, Zoubin Ghahramani, 2018, AAAI.

Modeling Adoption and Usage of Competing Products

Isabel Valera, Manuel Gomez-Rodriguez, I. Valera, 2014, 2015 IEEE International Conference on Data Mining.

Uncovering the Dynamics of Crowdlearning and the Value of Knowledge

Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez, 2016, WSDM.

Variational Mixture of HyperGenerators for Learning Distributions Over Functions

I. Valera, P. Olmos, Batuhan Koyuncu, 2023, ICML.

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

K. Gummadi, I. Valera, Ayan Majumdar, 2022, FAccT.

On the Fairness of Causal Algorithmic Recourse

Julius von Kügelgen, Adrian Weller, I. Valera, 2020, AAAI.

Scaling Guarantees for Nearest Counterfactual Explanations

Gilles Barthe, Amir-Hossein Karimi, Isabel Valera, 2020, AIES.

Lipschitz standardization for robust multivariate learning pdf

Isabel Valera, Adri'an Javaloy, I. Valera, 2020, ArXiv.

Boosting Black Box Variational Inference

Gunnar Rätsch, Francesco Locatello, Rajiv Khanna, 2018, NeurIPS.

Enhancing the Accuracy and Fairness of Human Decision Making

Adish Singla, Isabel Valera, Manuel Gomez Rodriguez, 2018, NeurIPS.

On the Efficiency of the Information Networks in Social Media pdf

Krishna P. Gummadi, Isabel Valera, Manuel Gomez-Rodriguez, 2016, WSDM.

Probabilistic Neural Transfer Function Estimation with Bayesian System Identification

Alexander S. Ecker, Thomas Euler, I. Valera, 2023, 2308.05990.

Infinite Continuous Feature Model for Psychiatric Comorbidity Analysis

Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, 2016, Neural Computation.