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Theory Lunch
Thu, Nov 14, 2019 @ 12:15 PM - 02:00 PM
Thomas Lord Department of Computer Science
Conferences, Lectures, & Seminars
Speaker: Mengxiao Zhang, CS PhD Student
Talk Title: Gradient Descent Provably Optimizes Over-Parameterized Neural Networks
Abstract: This talk is on the paper "Gradient Descent Provably Optimizes Over-Parameterized Neural Networks," which is about how techniques like gradient descent have zero training loss even for objective functions that are non-convex and non-smooth.
Host: Shaddin Dughmi
Location: Henry Salvatori Computer Science Center (SAL) - 213
Audiences: Everyone Is Invited
Contact: Cherie Carter
This event is open to all eligible individuals. USC Viterbi operates all of its activities consistent with the University's Notice of Non-Discrimination. Eligibility is not determined based on race, sex, ethnicity, sexual orientation, or any other prohibited factor.
