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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

Yuma Fujimoto
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Yuu Jinnai
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Kenshi Abe
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Daiki Katsuragawa
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Noboru Isobe
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Yuki Ichihara
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Tetsuro Morimura
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Ruo-Chun Tzeng
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Po-An Wang
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Papers

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