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[UTMD-035] Efficient Matching under General Constraints (by Kenzo Imamura, Yasushi Kawase)
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[UTMD-034] Combining Boston Mechanism with Deferred Acceptance algorithm (by Shintaro Yamanaka)
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[UTMD-033] Using Big Data and Machine Learning to Uncover How Players Choose Mixed Strategies (by Toshihiko Hirasawa, Michihiro Kandori, Akira Matsushita)
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[UTMD-032] Impossibility of weakly stable and strategy-proof mechanism (by Sung-Ho Cho, Miyuki Koshimura, Pinaki Mandal, Kentaro Yahiro, Makoto Yokoo)
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[UTMD-031] Regulating Matching Markets with Constraints: Data-driven Taxation (by Akira Matsushita, Kei Ikegami, Kyohei Okumura, Yoji Tomita, Atsushi Iwasaki)
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[UTMD-030] Anytime Capacity Expansion in Medical Residency Match by Monte Carlo Tree Search (by Kenshi Abe, Junpei Komiyama, Atsushi Iwasaki)
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[UTMD-029] Mutation-Driven Follow the Regularized Leader for Last-Iterate Convergence in Zero-Sum Games (by Kenshi Abe, Mitsuki Sakamoto, Atsushi Iwasaki)
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[UTMD-028] Training, Productivity and Wages: Direct Evidence from a Temporary Help Agency (by Xinwei Dong, Dean R. Hyslop, Daiji Kawaguchi)
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