{"653148":{"#nid":"653148","#data":{"type":"event","title":"PhD Thesis Defense: Alejandro Carderera \u2013 Faster Conditional Gradient algorithms for Machine Learning","body":[{"value":"\u003Ch3\u003E\u003Cstrong\u003E\u003Ca href=\u0022https:\/\/bluejeans.com\/642844455\/9676\u0022\u003EJoin virtually here\u003C\/a\u003E\u003C\/strong\u003E\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/h3\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAdvisor\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EProf. Sebastian Pokutta, Institute of Mathematics, Technische Universit\u0026auml;t Berlin and Department for AI in Society, Science, and Technology, Zuse Institute Berlin (Advisor)\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003ECommittee\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003E1. Prof. Alexandre d\u0026#39;Aspremont, D\u0026eacute;partement d\u0026#39;Informatique, CNRS and \u0026Eacute;cole Normale Sup\u0026eacute;rieure\u003C\/p\u003E\r\n\r\n\u003Cp\u003E2. Prof. Jelena Diakonikolas, Department of Computer Science, University of Wisconsin\u0026ndash;Madison\u003C\/p\u003E\r\n\r\n\u003Cp\u003E3. Prof. Swati Gupta, School of Industrial and Systems Engineering, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E4. Prof. Guanghui Lan, School of Industrial and Systems Engineering, Georgia Institute of Technology\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003E\u003Cstrong\u003EAbstract\u003C\/strong\u003E\u003C\/p\u003E\r\n\r\n\u003Cp\u003EIn this thesis, we focus on Frank-Wolfe (a.k.a. Conditional Gradient) algorithms, a family of iterative algorithms for convex optimization, that work under the assumption that projections onto the feasible region are prohibitive, but linear optimization problems can be efficiently solved over the feasible region. We present several algorithms that either locally or globally improve upon existing convergence guarantees. In Chapters 2-4 we focus on the case where the objective function is smooth and strongly convex and the feasible region is a polytope, and in Chapter 5 we focus on the case where the function is generalized self-concordant and the feasible region is a compact convex set.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":"","field_summary_sentence":[{"value":"PhD Thesis Defense: Alejandro Carderera \u2013 Faster Conditional Gradient algorithms for Machine Learning"}],"uid":"27592","created_gmt":"2021-11-29 14:03:59","changed_gmt":"2021-11-29 14:19:57","author":"Joshua Preston","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2021-11-29T11:30:00-05:00","event_time_end":"2021-11-29T12:30:00-05:00","event_time_end_last":"2021-11-29T12:30:00-05:00","gmt_time_start":"2021-11-29 16:30:00","gmt_time_end":"2021-11-29 17:30:00","gmt_time_end_last":"2021-11-29 17:30:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"hg_media":{"653144":{"id":"653144","type":"image","title":"Alejandro Carderera \u2013 PhD Machine Learning Student","body":null,"created":"1638193783","gmt_created":"2021-11-29 13:49:43","changed":"1638193783","gmt_changed":"2021-11-29 13:49:43","alt":"","file":{"fid":"247751","name":"Alejandro Carderera.jpeg","image_path":"\/sites\/default\/files\/images\/Alejandro%20Carderera.jpeg","image_full_path":"http:\/\/hg.gatech.edu\/\/sites\/default\/files\/images\/Alejandro%20Carderera.jpeg","mime":"image\/jpeg","size":57712,"path_740":"http:\/\/hg.gatech.edu\/sites\/default\/files\/styles\/740xx_scale\/public\/images\/Alejandro%20Carderera.jpeg?itok=5eJECMa3"}}},"media_ids":["653144"],"groups":[{"id":"576481","name":"ML@GT"}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"78771","name":"Public"},{"id":"78751","name":"Undergraduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[{"value":"\u003Cp\u003E\u003Ca href=\u0022mailto:stephanie.niebuhr@cc.gatech.edu?subject=PhD%20Dissertation%20Defense\u0022\u003EStephanie Niebuhr\u003C\/a\u003E\u003Cbr \/\u003E\r\nAcademic Advisor\u003C\/p\u003E\r\n","format":"limited_html"}],"email":[],"slides":[],"orientation":[],"userdata":""}}}