D'Orazio, Ryan

6 publications

NeurIPS 2025 New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results Francesco Orabona, Ryan D'Orazio

ICLR 2025 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

NeurIPSW 2024 Solving Hidden Monotone Variational Inequalities with Surrogate Losses Ryan D'Orazio, Danilo Vucetic, Zichu Liu, Junhyung Lyle Kim, Ioannis Mitliagkas, Gauthier Gidel

ICLR 2023 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games Samuel Sokota, Ryan D'Orazio, J Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer

TMLR 2023 Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize Ryan D'Orazio, Nicolas Loizou, Issam H. Laradji, Ioannis Mitliagkas

NeurIPSW 2022 A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games Samuel Sokota, Ryan D'Orazio, J Zico Kolter, Nicolas Loizou, Marc Lanctot, Ioannis Mitliagkas, Noam Brown, Christian Kroer