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DTSTAMP:20200826T011236Z
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DTSTART;TZID=America/Chicago:20200915T080600
DTEND;TZID=America/Chicago:20200919T200600
DESCRIPTION:The Institute for Data\, Econometrics\, Algorithms\, and Learni
 ng (IDEAL) is announcing a Special Quarter of Theory of Deep Learning to b
 e held from September 15 to December 12\, 2020. The Special Quarter will b
 e run on the gather.town platform and Zoom\, which will support a virtual 
 space for classes\, meetings\, seminars\, and water-cooler interactions. T
 hose interested in participation may apply at https://www.ideal.northweste
 rn.edu/special-quarters/fall-2020/ . The kick-off event will be held on Se
 ptember 15.\n\nSynopsis: Deep learning plays a central role in the recent 
 revolution of artificial intelligence and data science. In a wide range of
  applications\, such as computer vision\, natural language processing\, an
 d robotics\, deep learning achieves dramatic performance improvements over
  existing baselines and even human. Despite the empirical success of deep 
 learning\, its theoretical foundation remains less understood\, which hind
 ers the development of more principled methods with performance guarantees
 .\n\nAbout IDEAL: IDEAL is an NSF-funded multi-discipline (computer scienc
 e\, statistics\, economics\, electrical engineering\, and operations resea
 rch) and multi-institution (Northwestern University\, Toyota Technological
  Institute at Chicago\, and University of Chicago) collaborative institute
  that focuses on key aspects of the theoretical foundations of machine lea
 rning\, high-dimensional data analysis\, and optimization in both strategi
 c and non-strategic environments. The primary activity of the institute wi
 ll be thematically focused quarters which will coordinate graduate course 
 work with workshops and external visitors.\n\nThis Special Quarter is orga
 nized by Nathan Srebro (TTIC)\, Zhaoran Wang (Northwestern)\, and Dongning
  Guo (Northwestern).\n\nVirtual: https://events.vtools.ieee.org/m/238491
LOCATION:Virtual: https://events.vtools.ieee.org/m/238491
ORGANIZER:dguo@northwestern.edu
SEQUENCE:0
SUMMARY:Theory of Deep Learning Special Quarter at Northwestern/Chicago
URL;VALUE=URI:https://events.vtools.ieee.org/m/238491
X-ALT-DESC:Description: <br /><p>The Institute for Data\, Econometrics\, Al
 gorithms\, and Learning (IDEAL) is announcing a Special Quarter of Theory 
 of Deep Learning to be held from September 15 to December 12\, 2020. The S
 pecial Quarter will be run on the gather.town platform and Zoom\, which wi
 ll support a virtual space for classes\, meetings\, seminars\, and water-c
 ooler interactions. Those interested in participation may apply at https:/
 /www.ideal.northwestern.edu/special-quarters/fall-2020/ . The kick-off eve
 nt will be held on September 15.</p>\n<p>Synopsis: Deep learning plays a c
 entral role in the recent revolution of artificial intelligence and data s
 cience. In a wide range of applications\, such as computer vision\, natura
 l language processing\, and robotics\, deep learning achieves dramatic per
 formance improvements over existing baselines and even human. Despite the 
 empirical success of deep learning\, its theoretical foundation remains le
 ss understood\, which hinders the development of more principled methods w
 ith performance guarantees.</p>\n<p>About IDEAL: IDEAL is an NSF-funded mu
 lti-discipline (computer science\, statistics\, economics\, electrical eng
 ineering\, and operations research) and multi-institution (Northwestern Un
 iversity\, Toyota Technological Institute at Chicago\, and University of C
 hicago) collaborative institute that focuses on key aspects of the theoret
 ical foundations of machine learning\, high-dimensional data analysis\, an
 d optimization in both strategic and non-strategic environments. The prima
 ry activity of the institute will be thematically focused quarters which w
 ill coordinate graduate course work with workshops and external visitors.<
 /p>\n<p>This Special Quarter is organized by Nathan Srebro (TTIC)\, Zhaora
 n Wang (Northwestern)\, and Dongning Guo (Northwestern).</p>
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