{"id":51448,"date":"2026-05-05T15:32:57","date_gmt":"2026-05-05T07:32:57","guid":{"rendered":"https:\/\/www.bschool.cuhk.edu.hk\/chi\/?post_type=events&p=51448"},"modified":"2026-05-05T15:32:58","modified_gmt":"2026-05-05T07:32:58","slug":"contextual-linear-optimization-under-full-and-partial-feedback","status":"publish","type":"events","link":"https:\/\/www.bschool.cuhk.edu.hk\/chi\/events\/contextual-linear-optimization-under-full-and-partial-feedback\/","title":{"rendered":"Contextual Linear Optimization under Full and Partial Feedback"},"content":{"rendered":"\n

This talk is about Contextual Linear Optimization (CLO) across two feedback regimes, where we study the traditional two-stage Estimate-Then-Optimize (ETO) approach and the new integrated Induced Empirical Risk Minimization (IERM) framework. In the full-feedback setting, we theoretically demonstrate that under model correct specification, ETO can surprisingly achieve faster regret convergence rates than IERM by leveraging problem-specific geometric properties. In partial-feedback settings (bandit and semi-bandit), we propose a unified offline IERM framework and establish novel fast-rate guarantees. Numerical experiments on shortest path problems validate our theoretical findings across different regimes.<\/p>\n","protected":false},"featured_media":51226,"template":"","meta":{"_acf_changed":true},"etypes":[614],"tenses":[88],"locations":[106],"departments":[420],"class_list":["post-51448","events","type-events","status-publish","has-post-thumbnail","hentry","etypes-research-seminars","tenses-past","locations-on-campus","departments-decisions-operations-and-technology"],"acf":[],"yoast_head":"\n\u4e2d\u5927\u5546\u5b78\u9662 | Contextual Linear Optimization under Full and Partial Feedback<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.bschool.cuhk.edu.hk\/chi\/events\/contextual-linear-optimization-under-full-and-partial-feedback\/\" \/>\n<meta property=\"og:locale\" content=\"zh_TW\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta 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