Kaito Ariu - RankMe

62 papers A* 14A 5Journal 39Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Consensus Group Relative Policy Optimization for Text Generation. CoRR Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Eiji Uchibe
2026	J	`jnl`	Linear Convergence in Games with Delayed Feedback via Extra Prediction. CoRR Yuma Fujimoto, Kenshi Abe, Kaito Ariu
2026	A*	`conf`	What You Reward Is What You Learn: Comparing Rewards for Online Speech Policy Optimization in Public HRI. HRI Sichao Song, Yuki Okafuji, Kaito Ariu, Amy Koike
2026	J	`jnl`	What you reward is what you learn: Comparing rewards for online speech policy optimization in public HRI. CoRR Sichao Song, Yuki Okafuji, Kaito Ariu, Amy Koike
2025	A*	`conf`	Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games. ICLR Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki
2025	A	`conf`	Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling. WSDM Daiki Katsuragawa, Yusuke Kaneko, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. CoRR Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe, Mitsuki Sakamoto, Eiji Uchibe
2025	J	`jnl`	Evaluation of Best-of-N Sampling Strategies for Language Model Alignment. Trans. Mach. Learn. Res. Yuki Ichihara, Yuu Jinnai, Tetsuro Morimura, Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Eiji Uchibe
2025	A	`conf`	Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry. AAMAS Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	Learning from Delayed Feedback in Games via Extra Prediction. CoRR Yuma Fujimoto, Kenshi Abe, Kaito Ariu
2025	A	`conf`	Nash Equilibrium and Learning Dynamics in Three-Player Matching AAMAS Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	Policy Testing in Markov Decision Processes. CoRR Kaito Ariu, Po-An Wang, Alexandre Proutière, Kenshi Abe
2025	—	`conf`	Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment. NAACL (Long Papers) Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	Return-Aligned Decision Transformer. Trans. Mach. Learn. Res. Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
2025	A*	`conf`	Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. ICML Kaito Ariu, Alexandre Proutière, Se-Young Yun
2025	A*	`conf`	Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium. AAAI Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2025	J	`jnl`	The Power of Perturbation under Sampling in Solving Extensive-Form Games. CoRR Wataru Masaka, Mitsuki Sakamoto, Kenshi Abe, Kaito Ariu, Tuomas Sandholm, Atsushi Iwasaki
2025	—	`conf`	Theoretical Guarantees for Minimum Bayes Risk Decoding. ACL (1) Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2025	J	`jnl`	Theoretical Guarantees for Minimum Bayes Risk Decoding. CoRR Yuki Ichihara, Yuu Jinnai, Kaito Ariu, Tetsuro Morimura, Eiji Uchibe
2024	A*	`conf`	Adaptively Perturbed Mirror Descent for Learning in Games. ICML Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki
2024	J	`jnl`	Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games. CoRR Kenshi Abe, Mitsuki Sakamoto, Kaito Ariu, Atsushi Iwasaki
2024	A*	`conf`	Filtered Direct Preference Optimization. EMNLP Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024	J	`jnl`	Filtered Direct Preference Optimization. CoRR Tetsuro Morimura, Mitsuki Sakamoto, Yuu Jinnai, Kenshi Abe, Kaito Ariu
2024	J	`jnl`	Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2024	—	`conf`	Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. ACL (Findings) Yuu Jinnai, Kaito Ariu
2024	J	`jnl`	Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding. CoRR Yuu Jinnai, Kaito Ariu
2024	J	`jnl`	Last Iterate Convergence in Monotone Mean Field Games. CoRR Noboru Isobe, Kenshi Abe, Kaito Ariu
2024	A*	`conf`	Matroid Semi-Bandits in Sublinear Time. ICML Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu
2024	J	`jnl`	Matroid Semi-Bandits in Sublinear Time. CoRR Ruo-Chun Tzeng, Naoto Ohsaka, Kaito Ariu
2024	A*	`conf`	Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games. AAAI Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2024	A*	`conf`	Model-Based Minimum Bayes Risk Decoding for Text Generation. ICML Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2024	J	`jnl`	Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2024	A*	`conf`	On Universally Optimal Algorithms for A/B Testing. ICML Po-An Wang, Kaito Ariu, Alexandre Proutière
2024	J	`jnl`	Optimal clustering from noisy binary feedback. Mach. Learn. Kaito Ariu, Jungseul Ok, Alexandre Proutière, Seyoung Yun
2024	J	`jnl`	Rate-Optimal Bayesian Simple Regret in Best Arm Identification. Math. Oper. Res. Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
2024	J	`jnl`	Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment. CoRR Yuu Jinnai, Tetsuro Morimura, Kaito Ariu, Kenshi Abe
2024	J	`jnl`	Return-Aligned Decision Transformer. CoRR Tsunehiko Tanaka, Kenshi Abe, Kaito Ariu, Tetsuro Morimura, Edgar Simo-Serra
2024	J	`jnl`	Synchronization behind Learning in Periodic Zero-Sum Games Triggers Divergence from Nash equilibrium. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2024	J	`jnl`	Time-Varyingness in Auction Breaks Revenue Equivalence. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	A Slingshot Approach to Learning in Monotone Games. CoRR Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Atsushi Iwasaki
2023	A*	`conf`	Exploration of Unranked Items in Safe Online Learning to Re-Rank. SIGIR Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi
2023	J	`jnl`	Exploration of Unranked Items in Safe Online Learning to Re-Rank. CoRR Hiroaki Shiino, Kaito Ariu, Kenshi Abe, Riku Togashi
2023	J	`jnl`	Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model. CoRR Kaito Ariu, Alexandre Proutière, Se-Young Yun
2023	A	`conf`	Last-Iterate Convergence with Full and Noisy Feedback in Two-Player Zero-Sum Games. AISTATS Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki
2023	A*	`conf`	Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. IJCAI Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	Learning in Multi-Memory Games Triggers Complex Dynamics Diverging from Nash Equilibrium. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	Memory Asymmetry: A Key to Convergence in Zero-Sum Games. CoRR Yuma Fujimoto, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	Model-Based Minimum Bayes Risk Decoding. CoRR Yuu Jinnai, Tetsuro Morimura, Ukyo Honda, Kaito Ariu, Kenshi Abe
2023	J	`jnl`	On Uniformly Optimal Algorithms for Best Arm Identification in Two-Armed Bandits with Fixed Budget. CoRR Po-An Wang, Kaito Ariu, Alexandre Proutière
2022	J	`jnl`	Last-Iterate Convergence with Full- and Noisy-Information Feedback in Two-Player Zero-Sum Games. CoRR Kenshi Abe, Kaito Ariu, Mitsuki Sakamoto, Kentaro Toyoshima, Atsushi Iwasaki
2022	J	`jnl`	Optimal Fixed-Budget Best Arm Identification using the Augmented Inverse Probability Weighting Estimator in Two-Armed Gaussian Bandits with Unknown Variances. CoRR Masahiro Kato, Kaito Ariu, Masaaki Imaizumi, Masatoshi Uehara, Masahiro Nomura, Chao Qin
2022	A*	`conf`	Thresholded Lasso Bandit. ICML Kaito Ariu, Kenshi Abe, Alexandre Proutière
2021	J	`jnl`	Optimal Simple Regret in Bayesian Best Arm Identification. CoRR Junpei Komiyama, Kaito Ariu, Masahiro Kato, Chao Qin
2021	J	`jnl`	Policy Choice and Best Arm Identification: Comments on "Adaptive Treatment Assignment in Experiments for Policy Choice". CoRR Kaito Ariu, Masahiro Kato, Junpei Komiyama, Kenichiro McAlinn
2021	J	`jnl`	The Role of Contextual Information in Best Arm Identification. CoRR Masahiro Kato, Kaito Ariu
2020	J	`jnl`	A Practical Guide of Off-Policy Evaluation for Bandit Problems. CoRR Masahiro Kato, Kenshi Abe, Kaito Ariu, Shota Yasui
2020	A	`conf`	Optimal Algorithms for Multiplayer Multi-Armed Bandits. AISTATS Po-An Wang, Alexandre Proutière, Kaito Ariu, Yassir Jedra, Alessio Russo
2020	A*	`conf`	Regret in Online Recommendation Systems. NeurIPS Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
2020	J	`jnl`	Regret in Online Recommendation Systems. CoRR Kaito Ariu, Narae Ryu, Se-Young Yun, Alexandre Proutière
2020	J	`jnl`	Thresholded LASSO Bandit. CoRR Kaito Ariu, Kenshi Abe, Alexandre Proutière
2019	J	`jnl`	Optimal Clustering from Noisy Binary Feedback. CoRR Kaito Ariu, Jungseul Ok, Alexandre Proutière, Se-Young Yun
2017	—	`conf`	Chance-Constrained Path Planning with Continuous Time Safety Guarantees. AAAI Workshops Kaito Ariu, Cheng Fang, Márcio da Silva Arantes, Cláudio Toledo, Brian Charles Williams