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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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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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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 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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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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Tue 9:00
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Sharper Generalization Bounds for Learning with Gradient-dominated Objective Functions
Yunwen Lei · Yiming Ying
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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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Wed 9:00
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Continuous Wasserstein-2 Barycenter Estimation without Minimax Optimization
Alexander Korotin · Lingxiao Li · Justin Solomon · Evgeny Burnaev
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Poster
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Tue 17:00
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Discovering Non-monotonic Autoregressive Orderings with Variational Inference
Xuanlin Li · Brandon Trabucco · Dong Huk Park · Michael Luo · Sheng Shen · trevor darrell · Yang Gao
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