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Poster
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Thu 9:00
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Implicit Gradient Regularization
David Barrett · Benoit Dherin
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Poster
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Tue 1:00
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Intraclass clustering: an implicit learning ability that regularizes DNNs
Simon Carbonnelle · Christophe De Vleeschouwer
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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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Poster
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Tue 17:00
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A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
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Poster
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Tue 9:00
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Direction Matters: On the Implicit Bias of Stochastic Gradient Descent with Moderate Learning Rate
Jingfeng Wu · Difan Zou · vladimir braverman · Quanquan Gu
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Spotlight
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Tue 12:40
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Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
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Poster
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Tue 17:00
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Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
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Poster
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Tue 9:00
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Towards Resolving the Implicit Bias of Gradient Descent for Matrix Factorization: Greedy Low-Rank Learning
Zhiyuan Li · Yuping Luo · Kaifeng Lyu
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Poster
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Tue 17:00
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Gradient Descent on Neural Networks Typically Occurs at the Edge of Stability
Jeremy Cohen · Simran Kaur · Yuanzhi Li · Zico Kolter · Ameet Talwalkar
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