Kaito Ariu

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 33

Top Topics

Nash Equilibrium

Top Venues

Publications

Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games. AAAI (2024)
Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR (2024)
Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
Return-Aligned Decision Transformer. CoRR (2024)
Kaito Ariu, Jungseul Ok, Alexandre Proutière, Seyoung Yun
Optimal clustering from noisy binary feedback. Mach. Learn. 113 (5) (2024)
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry. CoRR (2024)
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games. CoRR (2024)
Yuu Jinnai, Kaito Ariu
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. CoRR (2024)
Yuu Jinnai, Kaito Ariu
Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. ACL (Findings) (2024)
Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu
Matroid Semi-Bandits in Sublinear Time. CoRR (2024)
Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
Filtered Direct Preference Optimization. CoRR (2024)
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki
A Slingshot Approach to Learning in Monotone Games. CoRR (2023)
Kaito Ariu, Alexandre Proutière, Se-Young Yun
Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. CoRR (2023)
Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi
Exploration of Unranked Items in Safe Online Learning to Re-Rank. SIGIR (2023)
Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi
Exploration of Unranked Items in Safe Online Learning to Re-Rank. CoRR (2023)
Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
Model-Based Minimum Bayes Risk Decoding. CoRR (2023)
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. IJCAI (2023)
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. CoRR (2023)
Yuma Fujimoto, Kaito Ariu, Kenshi Abe
Memory Asymmetry: A Key to Convergence in Zero-Sum Games. CoRR (2023)
Po-An Wang, Kaito Ariu, Alexandre Proutière
On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget. CoRR (2023)
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki
Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games. AISTATS (2023)
Kaito Ariu, Kenshi Abe, Alexandre Proutière
Thresholded Lasso Bandit. ICML (2022)
Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin
Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances. CoRR (2022)
Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki
Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games. CoRR (2022)
Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn
Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice". CoRR (2021)
Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
Optimal Simple Regret in Bayesian Best Arm Identification. CoRR (2021)
Masahiro Kato, Kaito Ariu
The Role of Contextual Information in Best Arm Identification. CoRR (2021)
Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
Regret in Online Recommendation Systems. NeurIPS (2020)
Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
Regret in Online Recommendation Systems. CoRR (2020)
Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui
A Practical Guide of Off-Policy Evaluation for Bandit Problems. CoRR (2020)
Po-An Wang, Alexandre Proutière, Kaito Ariu, Yassir Jedra, Alessio Russo
Optimal Algorithms for Multiplayer Multi-Armed Bandits. AISTATS (2020)
Kaito Ariu, Kenshi Abe, Alexandre Proutière
Thresholded LASSO Bandit. CoRR (2020)
Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun
Optimal Clustering from Noisy Binary Feedback. CoRR (2019)
Kaito Ariu, Cheng Fang, Márcio da Silva Arantes, Cláudio Toledo, Brian Charles Williams
Chance-Constrained Path Planning with Continuous Time Safety Guarantees. AAAI Workshops (2017)