Model-based minimum bayes risk decoding

論文誌・国際会議

ICML 2024

Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding

論文誌・国際会議

Findings of ACL 2024

Adaptively Perturbed Mirror Descent for Learning in Games

論文誌・国際会議

ICML 2024

On Universally Optimal Algorithms for A/B Testing

論文誌・国際会議

ICML 2024

Matroid Semi-Bandits in Sublinear Time

論文誌・国際会議

40th International Conference on Machine Learning (ICML 2024)

Optimal Clustering from Noisy Binary Feedback

論文誌・国際会議

Machine Learning

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

論文誌・国際会議

AAAI 2024

On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget

論文誌・国際会議

Workshop on Bandits and Statistical Tests 2023

Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium

国内学会/セミナー

IBIS 2023

Zero-Variance Perturbation Utiity for Extensive-Form Games

国内学会/セミナー

IBIS 2023

A Slingshot Approach to Learning in Monotone Games

国内学会/セミナー

IBIS 2023

Exploration of Unranked Items in Safe Online Learning to Re-Rank

論文誌・国際会議

SIGIR2023

Rate-Optimal Bayesian Simple Regret in Best Arm Identification

論文誌・国際会議

Mathematics of Operations Research

An Optimal Clustering Algorithm for the Labeled Stochastic Block Model

論文誌・国際会議

ICML 2023 Workshop: Sampling and Optimization in Discrete Space

Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium

論文誌・国際会議

IJCAI 2023

二人零和展開型ゲームにおける突然変異付き乗算型重み更新に関する研究

国内学会/セミナー

JSAI 2023

Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games

論文誌・国際会議

AISTATS 2023

Thresholded Lasso Bandit

国内学会/セミナー

IBIS 2022

Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games

国内学会/セミナー

IBIS 2022

Thresholded Lasso Bandit

論文誌・国際会議

ICML 2022