Picture for Daniel Kuhn

Daniel Kuhn

Optimism in the Face of Ambiguity Principle for Multi-Armed Bandits

Add code
Sep 30, 2024
Viaarxiv icon

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

Add code
May 30, 2024
Viaarxiv icon

A Large Deviations Perspective on Policy Gradient Algorithms

Add code
Nov 13, 2023
Viaarxiv icon

Contextual Stochastic Bilevel Optimization

Add code
Oct 27, 2023
Viaarxiv icon

Unifying Distributionally Robust Optimization via Optimal Transport Theory

Add code
Aug 10, 2023
Viaarxiv icon

End-to-End Learning for Stochastic Optimization: A Bayesian Perspective

Add code
Jun 11, 2023
Figure 1 for End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Figure 2 for End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Figure 3 for End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Figure 4 for End-to-End Learning for Stochastic Optimization: A Bayesian Perspective
Viaarxiv icon

Policy Gradient Algorithms for Robust MDPs with Non-Rectangular Uncertainty Sets

Add code
May 31, 2023
Viaarxiv icon

New Perspectives on Regularization and Computation in Optimal Transport-Based Distributionally Robust Optimization

Add code
Mar 07, 2023
Viaarxiv icon

Stability Verification of Neural Network Controllers using Mixed-Integer Programming

Add code
Jun 27, 2022
Figure 1 for Stability Verification of Neural Network Controllers using Mixed-Integer Programming
Figure 2 for Stability Verification of Neural Network Controllers using Mixed-Integer Programming
Figure 3 for Stability Verification of Neural Network Controllers using Mixed-Integer Programming
Figure 4 for Stability Verification of Neural Network Controllers using Mixed-Integer Programming
Viaarxiv icon

Metrizing Fairness

Add code
Jun 02, 2022
Figure 1 for Metrizing Fairness
Figure 2 for Metrizing Fairness
Figure 3 for Metrizing Fairness
Figure 4 for Metrizing Fairness
Viaarxiv icon