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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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Tue 9:00
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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 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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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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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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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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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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Poster
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Thu 9:00
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Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis · Maxim Sviridenko
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Poster
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Mon 1:00
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Wasserstein-2 Generative Networks
Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev
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Poster
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Thu 17:00
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Convex Regularization behind Neural Reconstruction
Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly
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Poster
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Mon 17:00
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The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
Wei Tao · sheng long · Gaowei Wu · Qing Tao
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