Optimal Clustering from Noisy Binary Feedback

論文誌・国際会議

Kaito Ariu, Jungseul Ok, Alexandre Proutiere, Se-Young Yun

Machine Learning

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

論文誌・国際会議

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

AAAI 2024

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

論文誌・国際会議

Po-An Wang, Kaito Ariu, Alexandre Proutiere

Workshop on Bandits and Statistical Tests 2023

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

論文誌・国際会議

Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi

SIGIR2023

Rate-Optimal Bayesian Simple Regret in Best Arm Identification

論文誌・国際会議

Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin

Mathematics of Operations Research

An Optimal Clustering Algorithm for the Labeled Stochastic Block Model

論文誌・国際会議

Kaito Ariu, Se-Young Yun, Alexandre Proutiere

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

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

IJCAI 2023

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

論文誌・国際会議

Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki

AISTATS 2023

Thresholded Lasso Bandit

論文誌・国際会議

Kaito Ariu, Kenshi Abe, Alexandre Proutière

ICML 2022