Fiez, Tanner

12 publications

NeurIPS 2024 Adaptive Experimentation When You Can't Experiment Yao Zhao, Kwang-Sung Jun, Tanner Fiez, Lalit Jain

NeurIPS 2023 Experimental Designs for Heteroskedastic Variance Justin Weltz, Tanner Fiez, Alexander Volfovsky, Eric Laber, Blake Mason, Houssam Nassif, Lalit Jain

ICLR 2022 Minimax Optimization with Smooth Algorithmic Adversaries Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J Ratliff

AAAI 2022 Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff

AAAI 2021 Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff

NeurIPS 2021 Global Convergence to Local Minmax Equilibrium in Classes of Nonconvex Zero-Sum Games Tanner Fiez, Lillian Ratliff, Eric Mazumdar, Evan Faulkner, Adhyyan Narang

ICLR 2021 Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation Tanner Fiez, Lillian J Ratliff

NeurIPS 2021 Online Learning in Periodic Zero-Sum Games Tanner Fiez, Ryann Sim, Stratis Skoulakis, Georgios Piliouras, Lillian Ratliff

UAI 2020 A SUPER* Algorithm to Optimize Paper Bidding in Peer Review Tanner Fiez, Nihar Shah, Lillian Ratliff

ICML 2020 Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study Tanner Fiez, Benjamin Chasnov, Lillian Ratliff

NeurIPS 2019 Sequential Experimental Design for Transductive Linear Bandits Tanner Fiez, Lalit Jain, Kevin G. Jamieson, Lillian Ratliff

UAI 2018 Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff