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Daniel Kuhn

Global Group Fairness in Federated Learning via Function Tracking

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Mar 19, 2025
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Towards Optimal Offline Reinforcement Learning

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Mar 15, 2025
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Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits

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Sep 30, 2024
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A Geometric Unification of Distributionally Robust Covariance Estimators: Shrinking the Spectrum by Inflating the Ambiguity Set

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May 30, 2024
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A Large Deviations Perspective on Policy Gradient Algorithms

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Nov 13, 2023
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Contextual Stochastic Bilevel Optimization

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Oct 27, 2023
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Unifying Distributionally Robust Optimization via Optimal Transport Theory

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Aug 10, 2023
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End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

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Jun 11, 2023
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Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

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May 31, 2023
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New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization

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Mar 07, 2023
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