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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

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