Ryan D'Orazio

According to our database1, Ryan D'Orazio authored at least 12 papers between 2019 and 2025.

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Bibliography

2025
New Perspectives on the Polyak Stepsize: Surrogate Functions and Negative Results.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2025, 2025

Solving hidden monotone variational inequalities with surrogate losses.
Proceedings of the Thirteenth International Conference on Learning Representations, 2025

2023
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize.
Trans. Mach. Learn. Res., 2023

Abstracting Imperfect Information Away from Two-Player Zero-Sum Games.
Proceedings of the International Conference on Machine Learning, 2023

A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2021
Optimistic and Adaptive Lagrangian Hedging.
CoRR, 2021

Efficient Deviation Types and Learning for Hindsight Rationality in Extensive-Form Games.
Proceedings of the 38th International Conference on Machine Learning, 2021

Solving Common-Payoff Games with Approximate Policy Iteration.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

Hindsight and Sequential Rationality of Correlated Play.
Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020
Alternative Function Approximation Parameterizations for Solving Games: An Analysis of ƒ-Regression Counterfactual Regret Minimization.
Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019
Bounds for Approximate Regret-Matching Algorithms.
CoRR, 2019

Simultaneous Prediction Intervals for Patient-Specific Survival Curves.
Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence, 2019


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