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Contributed talks in Session 4 (Zoom)
Quanquan Gu · sanae lotfi · Charles Guille-Escuret · Tolga Ergen · Dongruo Zhou

Fri Dec 11 03:30 PM -- 04:00 PM (PST) @
in OPT2020: Optimization for Machine Learning »

Join us to hear some new, exciting work at the intersection of optimization and ML. Come and ask questions and join the discussion.

Speakers: Tolga Ergen, "Convex Programs for Global Optimization of Convolutional Neural Networks in Polynomial-Time" Charles Guille-Escuret, "A Study of Condition Numbers for First-Order Optimization" Lewis Liu, "Affine-Invariant Analysis of Frank-Wolfe on Strongly Convex Sets" Sanae Lotfi, "Stochastic Damped L-BFGS with controlled norm of the Hessian approximation" Dongruo Zhou, "On the Convergence of Adaptive Gradient Methods for Nonconvex Optimization"

You can find a video on the NeurIPS website where the speakers discuss in detail their paper.

Author Information

Quanquan Gu (UCLA)
sanae lotfi (Polytechnique Montréal)
Charles Guille-Escuret (Université de Montréal, Mila)
Tolga Ergen (Stanford University)
Dongruo Zhou (UCLA)

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