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08/15/2023
Quantifying the Cost of Learning in Queueing Systems
Queueing systems are widely applicable stochastic models with use cases ...
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01/25/2023
Group fairness in dynamic refugee assignment
Ensuring that refugees and asylum seekers thrive (e.g., find employment)...
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08/19/2022
Learning in Stackelberg Games with Non-myopic Agents
We study Stackelberg games where a principal repeatedly interacts with a...
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06/05/2022
Efficient decentralized multi-agent learning in asymmetric queuing systems
We study decentralized multi-agent learning in bipartite queuing systems...
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07/03/2021
Bayesian decision-making under misspecified priors with applications to meta-learning
Thompson sampling and other Bayesian sequential decision-making algorith...
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07/15/2020
Static pricing for multi-unit prophet inequalities
We study a pricing problem where a seller has k identical copies of a pr...
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06/09/2020
Constrained episodic reinforcement learning in concave-convex and knapsack settings
We propose an algorithm for tabular episodic reinforcement learning with...
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03/04/2020
Bandits with adversarial scaling
We study "adversarial scaling", a multi-armed bandit model where rewards...
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02/26/2020
Corrupted Multidimensional Binary Search: Learning in the Presence of Irrational Agents
Standard game-theoretic formulations for settings like contextual pricin...
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11/20/2019
Corruption Robust Exploration in Episodic Reinforcement Learning
We initiate the study of multi-stage episodic reinforcement learning und...
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09/18/2019
Advancing subgroup fairness via sleeping experts
We study methods for improving fairness to subgroups in settings with ov...
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05/23/2019
Graph regret bounds for Thompson Sampling and UCB
We study the stochastic multi-armed bandit problem with the graph-based ...
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10/28/2018
On preserving non-discrimination when combining expert advice
We study the interplay between sequential decision making and avoiding d...
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03/25/2018
Stochastic bandits robust to adversarial corruptions
We introduce a new model of stochastic bandits with adversarial corrupti...
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02/15/2018
Competitive caching with machine learned advice
Traditional online algorithms encapsulate decision making under uncertai...
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11/09/2017
