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A Ranking Approach to Fair Classification

Feb 08, 2021
Jakob Schoeffer, Niklas Kuehl, Isabel Valera


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On the Fairness of Causal Algorithmic Recourse

Oct 14, 2020
Julius von Kügelgen, Umang Bhatt, Amir-Hossein Karimi, Isabel Valera, Adrian Weller, Bernhard Schölkopf


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Scaling Guarantees for Nearest Counterfactual Explanations

Oct 10, 2020
Kiarash Mohammadi, Amir-Hossein Karimi, Gilles Barthe, Isabel Valera


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

Oct 08, 2020
Amir-Hossein Karimi, Gilles Barthe, Bernhard Schölkopf, Isabel Valera


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Algorithmic recourse under imperfect causal knowledge: a probabilistic approach

Jun 16, 2020
Amir-Hossein Karimi, Julius von Kügelgen, Bernhard Schölkopf, Isabel Valera


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Algorithmic Recourse: from Counterfactual Explanations to Interventions

Feb 28, 2020
Amir-Hossein Karimi, Bernhard Schölkopf, Isabel Valera


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Lipschitz standardization for robust multivariate learning

Feb 26, 2020
Adrián Javaloy, Isabel Valera


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Model-Agnostic Counterfactual Explanations for Consequential Decisions

May 28, 2019
Amir-Hossein Karimi, Gilles Barthe, Borja Balle, Isabel Valera


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Improving Consequential Decision Making under Imperfect Predictions

Feb 08, 2019
Niki Kilbertus, Manuel Gomez-Rodriguez, Bernhard Schölkopf, Krikamol Muandet, Isabel Valera


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Boosting Black Box Variational Inference

Nov 01, 2018
Francesco Locatello, Gideon Dresdner, Rajiv Khanna, Isabel Valera, Gunnar Rätsch


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Handling Incomplete Heterogeneous Data using VAEs

Oct 30, 2018
Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani, Isabel Valera


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Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Oct 18, 2018
Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson, Fernando Perez-Cruz

* IEEE Transactions on Cognitive Communications and Networking, June 2018, Vol 2, Issue 2, pages 177-191 
* 15 pages, 15 figures 

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Automatic Bayesian Density Analysis

Oct 03, 2018
Antonio Vergari, Alejandro Molina, Robert Peharz, Zoubin Ghahramani, Kristian Kersting, Isabel Valera


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Enhancing the Accuracy and Fairness of Human Decision Making

May 25, 2018
Isabel Valera, Adish Singla, Manuel Gomez Rodriguez


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General Latent Feature Models for Heterogeneous Datasets

Mar 08, 2018
Isabel Valera, Melanie F. Pradier, Maria Lomeli, Zoubin Ghahramani

* Software library available at https://github.com/ivaleraM/GLFM 

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From Parity to Preference-based Notions of Fairness in Classification

Nov 28, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi, Adrian Weller

* To appear in Proceedings of the 31st Conference on Neural Information Processing Systems (NIPS 2017). Code available at: https://github.com/mbilalzafar/fair-classification 

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General Latent Feature Modeling for Data Exploration Tasks

Jul 26, 2017
Isabel Valera, Melanie F. Pradier, Zoubin Ghahramani

* presented at 2017 ICML Workshop on Human Interpretability in Machine Learning (WHI 2017), Sydney, NSW, Australia 

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Distilling Information Reliability and Source Trustworthiness from Digital Traces

Apr 02, 2017
Behzad Tabibian, Isabel Valera, Mehrdad Farajtabar, Le Song, Bernhard Schölkopf, Manuel Gomez-Rodriguez

* Accepted at 26th World Wide Web conference (WWW-17) 

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Fairness Constraints: Mechanisms for Fair Classification

Mar 23, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

* To appear in Proceedings of the 20th International Conference on Artificial Intelligence and Statistics (AISTATS). Open-source code implementation of our scheme is available at: https://github.com/mbilalzafar/fair-classification 

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

Mar 08, 2017
Muhammad Bilal Zafar, Isabel Valera, Manuel Gomez Rodriguez, Krishna P. Gummadi

* To appear in Proceedings of the 26th International World Wide Web Conference (WWW), 2017. Code available at: https://github.com/mbilalzafar/fair-classification 

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Uncovering the Dynamics of Crowdlearning and the Value of Knowledge

Dec 14, 2016
Utkarsh Upadhyay, Isabel Valera, Manuel Gomez-Rodriguez

* To appear in Tenth ACM International conference on Web Search and Data Mining (WSDM) in 2017 

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Modeling the Dynamics of Online Learning Activity

Oct 18, 2016
Charalampos Mavroforakis, Isabel Valera, Manuel Gomez Rodriguez

* Python implementation of the proposed HDHP is available at https://github.com/Networks-Learning/hdhp.py 

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Bayesian nonparametric comorbidity analysis of psychiatric disorders

Jan 29, 2014
Francisco J. R. Ruiz, Isabel Valera, Carlos Blanco, Fernando Perez-Cruz

* Submitted to Journal of Machine Learning Research 

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