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Spotlight
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Mon 12:15
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On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
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Poster
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Mon 9:00
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Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
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Poster
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Mon 17:00
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When does preconditioning help or hurt generalization?
Shun-ichi Amari · Jimmy Ba · Roger Grosse · Xuechen Li · Atsushi Nitanda · Taiji Suzuki · Denny Wu · Ji Xu
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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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Thu 17:00
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How Much Over-parameterization Is Sufficient to Learn Deep ReLU Networks?
Zixiang Chen · Yuan Cao · Difan Zou · Quanquan Gu
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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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Spotlight
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Wed 5:15
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Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
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Poster
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Mon 17:00
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Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
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Poster
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Tue 1:00
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Computational Separation Between Convolutional and Fully-Connected Networks
Eran Malach · Shai Shalev-Shwartz
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Poster
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Tue 1:00
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Distributed Momentum for Byzantine-resilient Stochastic Gradient Descent
El Mahdi El Mhamdi · Rachid Guerraoui · Sébastien Rouault
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Poster
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Wed 17:00
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Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez · Lillian J Ratliff
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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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