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DTSTART:20190310T070000
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DTSTART;TZID=America/Toronto:20190927T160000
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URL:https://uwaterloo.ca/artificial-intelligence-group/events/seminar-learn
 ing-neural-networks-adaptive-regularization
LOCATION:DC - William G. Davis Computer Research Centre 200 University Aven
 ue West 1304 Waterloo ON N2L 3G1 Canada
SUMMARY:Seminar: Learning Neural Networks with Adaptive Regularization
CLASS:PUBLIC
DESCRIPTION:HAN ZHAO\, PHD CANDIDATE\n_Carnegie Mellon University_\n\nFeed-
 forward neural networks can be understood as a combination of an\nintermed
 iate representation and a linear hypothesis. While most\nprevious works ai
 m to diversify the representations\, we explore the\ncomplementary directi
 on by performing an adaptive and data-dependent\nregularization motivated 
 by the empirical Bayes method.
DTSTAMP:20260323T033526Z
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