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Poster
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Mon 9:00
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Fast convergence of stochastic subgradient method under interpolation
Huang Fang · Zhenan Fan · Michael Friedlander
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Poster
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Thu 1:00
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A Diffusion Theory For Deep Learning Dynamics: Stochastic Gradient Descent Exponentially Favors Flat Minima
Zeke Xie · Issei Sato · Masashi Sugiyama
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Poster
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Wed 1:00
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Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
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Poster
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Tue 9:00
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NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
Ioannis Exarchos · Marcus A Pereira · Ziyi Wang · Evangelos Theodorou
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Oral
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Tue 12:00
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Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
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Poster
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Thu 17:00
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Randomized Automatic Differentiation
Deniz Oktay · Nick McGreivy · Joshua Aduol · Alex Beatson · Ryan P Adams
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Oral
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Thu 0:30
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Poster
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Thu 1:00
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Optimal Rates for Averaged Stochastic Gradient Descent under Neural Tangent Kernel Regime
Atsushi Nitanda · Taiji Suzuki
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Poster
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Tue 9:00
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On the Origin of Implicit Regularization in Stochastic Gradient Descent
Samuel Smith · Benoit Dherin · David Barrett · Soham De
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