Ryan D'Orazio

According to our database1, Ryan D'Orazio authored at least 10 papers between 2019 and 2023.

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Bibliography

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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