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Adaptive Experimental Design and Counterfactual Inference


Oct 25, 2022
Tanner Fiez, Sergio Gamez, Arick Chen, Houssam Nassif, Lalit Jain

* In Workshops of the Conference on Recommender Systems (RecSys), 2022 

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Online Learning in Periodic Zero-Sum Games


Nov 05, 2021
Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff

* To appear at NeurIPS 2021 

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Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms


Sep 25, 2021
Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff


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Minimax Optimization with Smooth Algorithmic Adversaries


Jun 02, 2021
Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff


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Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games


Dec 15, 2020
Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian Ratliff

* To appear in AAAI 2021 

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Gradient Descent-Ascent Provably Converges to Strict Local Minmax Equilibria with a Finite Timescale Separation


Sep 30, 2020
Tanner Fiez, Lillian Ratliff


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A $\texttt{SUPER}^{\ast}$ Algorithm to Optimize Paper Bidding in Peer Review


Jun 27, 2020
Tanner Fiez, Nihar B. Shah, Lillian Ratliff


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Sequential Experimental Design for Transductive Linear Bandits


Jun 20, 2019
Tanner Fiez, Lalit Jain, Kevin Jamieson, Lillian Ratliff


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Convergence of Learning Dynamics in Stackelberg Games


Jun 04, 2019
Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff


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Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences


Jul 06, 2018
Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff

* Published as a conference paper in Conference on Uncertainty in Artificial Intelligence (UAI) 2018 

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