A dimensionless relative trajectory estimation algorithm for autonomous imaging of a small astronomical body in a close distance flyby von Ariu, Kaito, Inamori, Takaya, Funase, Ryu, Nakasuka, Shinichi

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Optimal clustering from noisy binary feedback von Ariu, Kaito, Ok, Jungseul, Proutiere, Alexandre, Yun, Seyoung

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Rate-Optimal Bayesian Simple Regret in Best Arm Identification von Komiyama, Junpei, Ariu, Kaito, Kato, Masahiro, Qin, Chao

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Attitude Determination and Control System for the PROCYON Micro-Spacecraft von IKARI, Satoshi, INAMORI, Takaya, ITO, Takahiro, ARIU, Kaito, OGURI, Kenshiro, FUJIMOTO, Masataka, SAKAI, Shinichiro, KAWAKATSU, Yasuhiro, FUNASE, Ryu

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Online Dimensionality Reduction von Ariu, Kaito

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Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding von Jinnai, Yuu, Ariu, Kaito

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PROCYON’s probability analysis of accidental impact on Mars von Sarli, Bruno Victorino, Ariu, Kaito, Yano, Hajime

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Time-Varyingness in Auction Breaks Revenue Equivalence von Fujimoto, Yuma, Ariu, Kaito, Abe, Kenshi

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Synchronization behind Learning in Periodic Zero-Sum Games Triggers Divergence from Nash equilibrium von Fujimoto, Yuma, Ariu, Kaito, Abe, Kenshi

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The Role of Contextual Information in Best Arm Identification von Kato, Masahiro, Ariu, Kaito

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Matroid Semi-Bandits in Sublinear Time von Tzeng, Ruo-Chun, Ohsaka, Naoto, Ariu, Kaito

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Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games von Fujimoto, Yuma, Ariu, Kaito, Abe, Kenshi

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Nash Equilibrium and Learning Dynamics in Three-Player Matching $m$-Action Games von Fujimoto, Yuma, Ariu, Kaito, Abe, Kenshi

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Matroid Semi-Bandits in Sublinear Time von Tzeng, Ruo-Chun, Ohsaka, Naoto, Ariu, Kaito

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On Universally Optimal Algorithms for A/B Testing von Wang, Po-An, Ariu, Kaito, Proutiere, Alexandre

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Hyperparameter-Free Approach for Faster Minimum Bayes Risk Decoding von Jinnai, Yuu, Ariu, Kaito

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Instance-Optimal Cluster Recovery in the Labeled Stochastic Block Model von Ariu, Kaito, Proutiere, Alexandre, Yun, Se-Young

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Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games von Fujimoto, Yuma, Ariu, Kaito, Abe, Kenshi

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Boosting Perturbed Gradient Ascent for Last-Iterate Convergence in Games von Abe, Kenshi, Sakamoto, Mitsuki, Ariu, Kaito, Iwasaki, Atsushi

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Regularized Best-of-N Sampling to Mitigate Reward Hacking for Language Model Alignment von Jinnai, Yuu, Morimura, Tetsuro, Ariu, Kaito, Abe, Kenshi

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