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10/25/2022
Adaptive Experimental Design and Counterfactual Inference
Adaptive experimental design methods are increasingly being used in indu...
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11/05/2021
Online Learning in Periodic Zero-Sum Games
A seminal result in game theory is von Neumann's minmax theorem, which s...
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09/25/2021
Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms
The hierarchical interaction between the actor and critic in actor-criti...
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06/02/2021
Minimax Optimization with Smooth Algorithmic Adversaries
This paper considers minimax optimization min_x max_y f(x, y) in the cha...
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12/15/2020
Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games
The predominant paradigm in evolutionary game theory and more generally ...
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09/30/2020
Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation
We study the role that a finite timescale separation parameter τ has on ...
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06/27/2020
A SUPER* Algorithm to Optimize Paper Bidding in Peer Review
A number of applications involve sequential arrival of users, and requir...
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06/20/2019
Sequential Experimental Design for Transductive Linear Bandits
In this paper we introduce the transductive linear bandit problem: given...
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06/04/2019
Convergence of Learning Dynamics in Stackelberg Games
This paper investigates the convergence of learning dynamics in Stackelb...
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07/06/2018
Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences
The design of personalized incentives or recommendations to improve user...
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06/14/2018
Adaptive Incentive Design
We apply control theoretic and optimization techniques to adaptively des...
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03/11/2018
Incentives in the Dark: Multi-armed Bandits for Evolving Users with Unknown Type
Design of incentives or recommendations to users is becoming more common...
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12/02/2017
