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Kenshi Abe

15 papers at tracked venues · 9 at CORE A* · active 2024–2025

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Venues

AAAI ×3AAMAS ×2ICML ×2NeurIPS ×2AISTATS ×1EMNLP ×1ICLR ×1NAACL ×1WSDM ×1WWW ×1

Frequent coauthors

Yuma Fujimoto
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Yuu Jinnai
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Hiroki Ishibashi
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Daiki Katsuragawa
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Noboru Isobe
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Tetsuro Morimura
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Hakuei Yamada
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Riku Togashi
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Papers

  1. Approximate State Abstraction for Markov Games
    AAAI 2025 ·
    Hiroki Ishibashi
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  2. Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games
    ICLR 2025 · Kenshi Abe
  3. Efficient Creative Selection in Online Advertising using Top-Two Thompson Sampling
    WSDM 2025 ·
    Daiki Katsuragawa
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  4. Global Behavior of Learning Dynamics in Zero-Sum Games with Memory Asymmetry
    AAMAS 2025 ·
    Yuma Fujimoto
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  5. Last Iterate Convergence in Monotone Mean Field Games
    NeurIPS 2025 ·
    Noboru Isobe
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  6. Learning from Delayed Feedback in Games via Extra Prediction
    NeurIPS 2025 ·
    Yuma Fujimoto
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  7. Nash Equilibrium and Learning Dynamics in Three-Player Matching m-Action Games
    AAMAS 2025 ·
    Yuma Fujimoto
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  8. Regularized Best-of-N Sampling with Minimum Bayes Risk Objective for Language Model Alignment
    NAACL 2025 ·
    Yuu Jinnai
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  9. Synchronization in Learning in Periodic Zero-Sum Games Triggers Divergence from Nash Equilibrium
    AAAI 2025 ·
    Yuma Fujimoto
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  10. Adaptively Perturbed Mirror Descent for Learning in Games
    ICML 2024 · Kenshi Abe
  11. Filtered Direct Preference Optimization
    EMNLP 2024 ·
    Tetsuro Morimura
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  12. Learning Fair Division from Bandit Feedback
    AISTATS 2024 ·
    Hakuei Yamada
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  13. Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games
    AAAI 2024 ·
    Yuma Fujimoto
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  14. Model-Based Minimum Bayes Risk Decoding for Text Generation
    ICML 2024 ·
    Yuu Jinnai
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  15. Scalable and Provably Fair Exposure Control for Large-Scale Recommender Systems
    WWW 2024 ·
    Riku Togashi
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