{"656991":{"#nid":"656991","#data":{"type":"event","title":"Ph.D. Proposal Oral Exam - Tianrong Chen","body":[{"value":"\u003Cp\u003E\u003Cstrong\u003ETitle:\u0026nbsp; \u003C\/strong\u003E\u003Cem\u003EBridging the connection between Deep Learning and Stochastic Optimal Control\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. Theodorou, Advisor\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Bloch, Co-Advisor\u0026nbsp;\u0026nbsp;\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Romberg, Chair\u003C\/p\u003E\r\n\r\n\u003Cp\u003EDr. Tao\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract: \u003C\/strong\u003EThe objective of the proposed research is to bridge the connection between deep learning and stochastic optimal control. Precisely,\u0026nbsp; this proposal is trying to leverage the systematic stochastic optimal control theory to shed light on deep learning models, and oppositely, taking the advantage of the universal approximation property of deep learning to numerically solve intractable problems in large scale stochastic optimal control problems.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"Bridging the connection between Deep Learning and Stochastic Optimal Control"}],"uid":"28475","created_gmt":"2022-04-05 14:48:13","changed_gmt":"2022-04-05 14:48:13","author":"Daniela Staiculescu","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2022-04-11T13:00:00-04:00","event_time_end":"2022-04-11T15:00:00-04:00","event_time_end_last":"2022-04-11T15:00:00-04:00","gmt_time_start":"2022-04-11 17:00:00","gmt_time_end":"2022-04-11 19:00:00","gmt_time_end_last":"2022-04-11 19:00:00","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":""}}}