Search Results for author: Bahar Taskesen

Found 4 papers, 2 papers with code

Sequential Domain Adaptation by Synthesizing Distributionally Robust Experts

1 code implementation1 Jun 2021 Bahar Taskesen, Man-Chung Yue, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

Given available data, we investigate novel strategies to synthesize a family of least squares estimator experts that are robust with regard to moment conditions.

Domain Adaptation

Semi-Discrete Optimal Transport: Hardness, Regularization and Numerical Solution

1 code implementation10 Mar 2021 Bahar Taskesen, Soroosh Shafieezadeh-Abadeh, Daniel Kuhn

Semi-discrete optimal transport problems, which evaluate the Wasserstein distance between a discrete and a generic (possibly non-discrete) probability measure, are believed to be computationally hard.

A Statistical Test for Probabilistic Fairness

no code implementations9 Dec 2020 Bahar Taskesen, Jose Blanchet, Daniel Kuhn, Viet Anh Nguyen

Leveraging the geometry of the feature space, the test statistic quantifies the distance of the empirical distribution supported on the test samples to the manifold of distributions that render a pre-trained classifier fair.


A Distributionally Robust Approach to Fair Classification

no code implementations18 Jul 2020 Bahar Taskesen, Viet Anh Nguyen, Daniel Kuhn, Jose Blanchet

We propose a distributionally robust logistic regression model with an unfairness penalty that prevents discrimination with respect to sensitive attributes such as gender or ethnicity.

Classification Fairness +1

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