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Kaito Ariu

17 papers at tracked venues · 12 at CORE A* · active 2024–2025

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Venues

ICML ×5AAAI ×2AAMAS ×2ACL ×2NeurIPS ×2EMNLP ×1ICLR ×1NAACL ×1WSDM ×1

Frequent coauthors

Kenshi Abe
×12
Yuma Fujimoto
×5
Yuu Jinnai
×5
Tetsuro Morimura
×4
Mitsuki Sakamoto
×3
Atsushi Iwasaki
×2
Alexandre Proutière
×2
Daiki Katsuragawa
×1
Yusuke Kaneko
×1
Noboru Isobe
×1
Se-Young Yun
×1
Yuki Ichihara
×1

Papers

  1. Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
    ICLR 2025 ·
    Kenshi Abe
    ,
    Mitsuki Sakamoto
    , Kaito Ariu,
    Atsushi Iwasaki
  2. Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling
    WSDM 2025 ·
    Daiki Katsuragawa
    ,
    Yusuke Kaneko
    , Kaito Ariu,
    Kenshi Abe
  3. Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
    AAMAS 2025 ·
    Yuma Fujimoto
    , Kaito Ariu,
    Kenshi Abe
  4. Last Iterate Convergence in Monotone Mean Field Games
    NeurIPS 2025 ·
    Noboru Isobe
    ,
    Kenshi Abe
    , Kaito Ariu
  5. Learning from Delayed Feedback in Games via Extra Prediction
    NeurIPS 2025 ·
    Yuma Fujimoto
    ,
    Kenshi Abe
    , Kaito Ariu
  6. Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games
    AAMAS 2025 ·
    Yuma Fujimoto
    , Kaito Ariu,
    Kenshi Abe
  7. Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
    NAACL 2025 ·
    Yuu Jinnai
    ,
    Tetsuro Morimura
    , Kaito Ariu,
    Kenshi Abe
  8. Revisiting Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model
    ICML 2025 · Kaito Ariu,
    Alexandre Proutière
    ,
    Se-Young Yun
  9. Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
    AAAI 2025 ·
    Yuma Fujimoto
    , Kaito Ariu,
    Kenshi Abe
  10. Theoretical Guarantees for Minimum Bayes Risk Decoding
    ACL 2025 ·
    Yuki Ichihara
    ,
    Yuu Jinnai
    , Kaito Ariu,
    Tetsuro Morimura
    ,
    Eiji Uchibe
  11. Adaptively Perturbed Mirror Descent for Learning in Games
    ICML 2024 ·
    Kenshi Abe
    , Kaito Ariu,
    Mitsuki Sakamoto
    ,
    Atsushi Iwasaki
  12. Filtered Direct Preference Optimization
    EMNLP 2024 ·
    Tetsuro Morimura
    ,
    Mitsuki Sakamoto
    ,
    Yuu Jinnai
    ,
    Kenshi Abe
    , Kaito Ariu
  13. Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding
    ACL 2024 ·
    Yuu Jinnai
    , Kaito Ariu
  14. Matroid Semi-Bandits in Sublinear Time
    ICML 2024 ·
    Ruo-Chun Tzeng
    ,
    Naoto Ohsaka
    , Kaito Ariu
  15. Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
    AAAI 2024 ·
    Yuma Fujimoto
    , Kaito Ariu,
    Kenshi Abe
  16. Model-Based Minimum Bayes Risk Decoding for Text Generation
    ICML 2024 ·
    Yuu Jinnai
    ,
    Tetsuro Morimura
    ,
    Ukyo Honda
    , Kaito Ariu,
    Kenshi Abe
  17. On Universally Optimal Algorithms for A/B Testing
    ICML 2024 ·
    Po-An Wang
    , Kaito Ariu,
    Alexandre Proutière