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04/13/2023
A Distributionally Robust Approach to Regret Optimal Control using the Wasserstein Distance
This paper proposes a distributionally robust approach to regret optimal...
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05/08/2022
Data-Driven Approximations of Chance Constrained Programs in Nonstationary Environments
We study sample average approximations (SAA) of chance constrained progr...
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01/17/2021
Exploring Adversarial Robustness of Multi-Sensor Perception Systems in Self Driving
Modern self-driving perception systems have been shown to improve upon p...
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04/07/2020
Nonparametric Estimation of Uncertainty Sets for Robust Optimization
We investigate a data-driven approach to constructing uncertainty sets f...
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11/21/2019
Safe Linear Stochastic Bandits
We introduce the safe linear stochastic bandit framework—a generalizatio...
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03/11/2019
Transparency and Control in Platforms for Networked Markets
In this work, we analyze the worst case efficiency loss of online platfo...
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09/27/2017