{"652437":{"#nid":"652437","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Chi-Heng Lin","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EUnderstanding and Improving Model Generalization with Data Augmentation and Optimal Transport\u003C\/em\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee:\u0026nbsp; \u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Dyer, Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Davenport, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Muthukumar\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to understand and improve machine learning model generalization with data augmentation and optimal transport when the data is subject to distribution shifts. By appealing to a recent connection of optimal transport and the generalization bound, our research aims at unifying the data augmentation and optimal transport that yields the optimal augmentation strategy and robust model calibration. Our theoretical analysis will shed light on when and what data augmentation improves generalization, while the algorithmic design will improve optimal transport\u0026#39;s robustness and sampling complexity.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Understanding and Improving Model Generalization with Data Augmentation and Optimal Transport"}],"uid":"28475","created_gmt":"2021-11-03 22:15:11","changed_gmt":"2021-11-03 22:15:11","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-11-09T14:30:00-05:00","event_time_end":"2021-11-09T16:30:00-05:00","event_time_end_last":"2021-11-09T16:30:00-05:00","gmt_time_start":"2021-11-09 19:30:00","gmt_time_end":"2021-11-09 21:30:00","gmt_time_end_last":"2021-11-09 21:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"groups":[{"id":"434371","name":"ECE Ph.D. Proposal Oral Exams"}],"categories":[],"keywords":[{"id":"102851","name":"Phd proposal"},{"id":"1808","name":"graduate students"}],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1788","name":"Other\/Miscellaneous"}],"invited_audience":[{"id":"78771","name":"Public"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}