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20162023
most citedFairness Beyond Disparate Treatment & Disparate Impact: Learning Classification without Disparate Mistreatment

626 citations · 776 across the 12 of their papers we have counts for

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Showing 2018Show all

5 papers · 1 filter

eess.SP2018

Infinite Factorial Finite State Machine for Blind Multiuser Channel Estimation

Francisco J. R. Ruiz, Isabel Valera, Lennart Svensson +1

New communication standards need to deal with machine-to-machine communications, in which users may start or stop transmitting at any time in an asynchronous manner. Thus, the numb…

stat.ML2018

Automatic Bayesian Density Analysis

Antonio Vergari, Alejandro Molina, Robert Peharz +3

Making sense of a dataset in an automatic and unsupervised fashion is a challenging problem in statistics and AI. Classical approaches for {exploratory data analysis} are usually n…

cs.LG2018

Handling Incomplete Heterogeneous Data using VAEs

Alfredo Nazabal, Pablo M. Olmos, Zoubin Ghahramani +1

Variational autoencoders (VAEs), as well as other generative models, have been shown to be efficient and accurate for capturing the latent structure of vast amounts of complex high…

stat.ML2018

Boosting Black Box Variational Inference

Francesco Locatello, Gideon Dresdner, Rajiv Khanna +2

Approximating a probability density in a tractable manner is a central task in Bayesian statistics. Variational Inference (VI) is a popular technique that achieves tractability by…

stat.ML2018

Enhancing the Accuracy and Fairness of Human Decision Making

Isabel Valera, Adish Singla, Manuel Gomez Rodriguez

Societies often rely on human experts to take a wide variety of decisions affecting their members, from jail-or-release decisions taken by judges and stop-and-frisk decisions taken…