| 2024 | WWW | Best of Three Worlds: Adaptive Experimentation for Digital Marketing in Practice. | Tanner Fiez, Houssam Nassif, Yu-Cheng Chen, Sergio Gamez, Lalit Jain |
| 2023 | KDD | Neural Insights for Digital Marketing Content Design. | Fanjie Kong, Yuan Li, Houssam Nassif, Tanner Fiez, Ricardo Henao, Shreya Chakrabarti |
| 2022 | AAAI | Stackelberg Actor-Critic: Game-Theoretic Reinforcement Learning Algorithms. | Liyuan Zheng, Tanner Fiez, Zane Alumbaugh, Benjamin Chasnov, Lillian J. Ratliff |
| 2022 | ICLR | Minimax Optimization with Smooth Algorithmic Adversaries. | Tanner Fiez, Chi Jin, Praneeth Netrapalli, Lillian J. Ratliff |
| 2021 | AAAI | Evolutionary Game Theory Squared: Evolving Agents in Endogenously Evolving Zero-Sum Games. | Stratis Skoulakis, Tanner Fiez, Ryann Sim, Georgios Piliouras, Lillian J. Ratliff |
| 2021 | ICLR | Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation. | Tanner Fiez, Lillian J. Ratliff |
| 2020 | ICML | Implicit Learning Dynamics in Stackelberg Games: Equilibria Characterization, Convergence Analysis, and Empirical Study. | Tanner Fiez, Benjamin Chasnov, Lillian J. Ratliff |
| 2020 | UAI | A SUPER* Algorithm to Optimize Paper Bidding in Peer Review. | Tanner Fiez, Nihar B. Shah, Lillian J. Ratliff |
| 2018 | UAI | Combinatorial Bandits for Incentivizing Agents with Dynamic Preferences. | Tanner Fiez, Shreyas Sekar, Liyuan Zheng, Lillian J. Ratliff |