The Graduate University for Advanced Studies, SOKENDAI · Institute of Statistical Mathematics

Research keywordsinverse linear optimization・online learning regret・treatment effect estimation・large graphs・parameter-free gradient descent・Fenchel-Young loss

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• 出版年: 20252025 · 論文一覧（最新5件）
• Scalable individual treatment effect estimator for large graphs. DOI: 10.1007/s10994-024-06694-w 出版年: 2025 ジャーナル名: Mach. Learn. URL: https://researchmap.jp/hanbao/published_papers/494557812025 · 論文一覧（最新5件）
• Revisiting Online Learning Approach to Inverse Linear Optimization: A Fenchel-Young Loss Perspective and Gap-Dependent Regret Analysis. DOI: 10.48550/arXiv.2501.13648 出版年: 2025 ジャーナル名: CoRR URL: https://researchmap.jp/hanbao/published_papers/494557822025 · 論文一覧（最新5件）
• Online Inverse Linear Optimization: Improved Regret Bound, Robustness to Suboptimality, and Toward Tight Regret Analysis. DOI: 10.48550/arXiv.2501.14349 出版年: 2025 ジャーナル名: CoRR URL: https://researchmap.jp/hanbao/published_papers/494557832025 · 論文一覧（最新5件）

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