{"625120":{"#nid":"625120","#data":{"type":"event","title":"TRIAD Lecture Series by Yuxin Chen from Princeton (4\/5)","body":[{"value":"\u003Cp\u003EThis is one of a series of talks that are given by Professor Chen. The full list of his talks is as follows:\u003Cbr \/\u003E\r\nWednesday, August 28, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003Cbr \/\u003E\r\nThursday, August 29, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003Cbr \/\u003E\r\nTuesday, September 3, 2019; 11:00 am - 12:00 pm; Main - Executive Education Room 228\u003Cbr \/\u003E\r\nWednesday, September 4, 2019; 11:00 am - 12:00 pm; Main - Executive Education Room 228\u003Cbr \/\u003E\r\nThursday, September 5, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck https:\/\/triad.gatech.edu\/events for more information.\u0026nbsp;\u003Cbr \/\u003E\r\nFor location information, please check https:\/\/isye.gatech.edu\/about\/maps-directions\/isye-building-complex\u003C\/p\u003E\r\n\r\n\u003Cp\u003ETitle of this talk: Spectral Methods Meets Asymmetry: \u0026nbsp;Two Recent Stories\u003C\/p\u003E\r\n\r\n\u003Cp\u003EAbstract: This talk is concerned with the interplay between asymmetry and spectral methods. Imagine that we\u0026nbsp;have access to an asymmetrically perturbed low-rank data matrix. We attempt estimation of the low-rank matrix\u0026nbsp;via eigen-decomposition --- an uncommon approach when dealing with non-symmetric matrices.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EWe provide two recent stories to demonstrate the advantages and effectiveness of this approach. \u0026nbsp; The first\u0026nbsp;story is concerned with top-K ranking from pairwise comparisons, \u0026nbsp;for which the spectral method enables\u0026nbsp;un-improvable ranking accuracy. \u0026nbsp;The second story is concerned with matrix de-noising and spectral estimation,\u0026nbsp;for which the eigen-decomposition method significantly outperforms the (unadjusted) SVD-based approach and is\u0026nbsp;fully adaptive to heteroscedasticity without the need of careful bias correction.\u003C\/p\u003E\r\n\r\n\u003Cp\u003EThe first part of this talk is based on joint work with Cong Ma, Kaizheng Wang, and Jianqing Fan; \u0026nbsp;the second\u0026nbsp;part of this talk is based on joint work with Chen Cheng and Jianqing Fan.\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n\r\n\u003Cp\u003EBio: Yuxin Chen is currently an assistant professor in the Department of Electrical Engineering at Princeton\u0026nbsp;University. Prior to joining Princeton, he was a postdoctoral scholar in the Department of Statistics at\u0026nbsp;Stanford University, and he completed his Ph.D. in Electrical Engineering at Stanford University. His research\u0026nbsp;interests include high-dimensional statistics, convex and nonconvex optimization, statistical learning, and information theory. He received the 2019 AFOSR Young Investigator Award.\u003C\/p\u003E\r\n","summary":null,"format":"limited_html"}],"field_subtitle":"","field_summary":[{"value":"\u003Cp\u003EThis is one of a series of talks that are given by Professor Chen. The full list of his talks is as follows:\u003Cbr \/\u003E\r\nWednesday, August 28, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003Cbr \/\u003E\r\nThursday, August 29, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003Cbr \/\u003E\r\nTuesday, September 3, 2019; 11:00 am - 12:00 pm; Main - Executive Education Room 228\u003Cbr \/\u003E\r\nWednesday, September 4, 2019; 11:00 am - 12:00 pm; Main - Executive Education Room 228\u003Cbr \/\u003E\r\nThursday, September 5, 2019; 11:00 am - 12:00 pm; Groseclose 402\u003C\/p\u003E\r\n\r\n\u003Cp\u003ECheck https:\/\/triad.gatech.edu\/events for more information.\u0026nbsp;\u003Cbr \/\u003E\r\nFor location information, please check https:\/\/isye.gatech.edu\/about\/maps-directions\/isye-building-complex\u003Cbr \/\u003E\r\n\u0026nbsp;\u003C\/p\u003E\r\n","format":"limited_html"}],"field_summary_sentence":[{"value":"This is one of a series of talks that are given by Professor Chen."}],"uid":"34963","created_gmt":"2019-08-25 17:33:53","changed_gmt":"2019-09-04 19:31:15","author":"Xiaoming Huo","boilerplate_text":"","field_publication":"","field_article_url":"","field_event_time":{"event_time_start":"2019-09-04T12:00:00-04:00","event_time_end":"2019-09-04T13:00:00-04:00","event_time_end_last":"2019-09-04T13:00:00-04:00","gmt_time_start":"2019-09-04 16:00:00","gmt_time_end":"2019-09-04 17:00:00","gmt_time_end_last":"2019-09-04 17:00:00","rrule":null,"timezone":"America\/New_York"},"extras":[],"related_links":[{"url":"http:\/\/www.princeton.edu\/~yc5\/slides\/ranking_asymmetry_slides.pdf","title":"Talk Slides at Speaker\u0027s web site"}],"groups":[{"id":"602673","name":"TRIAD "}],"categories":[],"keywords":[],"core_research_areas":[],"news_room_topics":[],"event_categories":[{"id":"1795","name":"Seminar\/Lecture\/Colloquium"}],"invited_audience":[{"id":"78761","name":"Faculty\/Staff"},{"id":"177814","name":"Postdoc"},{"id":"174045","name":"Graduate students"}],"affiliations":[],"classification":[],"areas_of_expertise":[],"news_and_recent_appearances":[],"phone":[],"contact":[],"email":[],"slides":[],"orientation":[],"userdata":""}}}