Search All 2021 Events
 

15 Results

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Spotlight
Wed 5:15 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
Poster
Tue 9:00 On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
Poster
Mon 17:00 Benefit of deep learning with non-convex noisy gradient descent: Provable excess risk bound and superiority to kernel methods
Taiji Suzuki · Akiyama Shunta
Spotlight
Mon 12:15 On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
Poster
Wed 1:00 Byzantine-Resilient Non-Convex Stochastic Gradient Descent
Zeyuan Allen-Zhu · Faeze Ebrahimianghazani · Jerry Li · Dan Alistarh
Spotlight
Tue 12:40 Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
Poster
Tue 17:00 Implicit Convex Regularizers of CNN Architectures: Convex Optimization of Two- and Three-Layer Networks in Polynomial Time
Tolga Ergen · Mert Pilanci
Poster
Tue 9:00 NOVAS: Non-convex Optimization via Adaptive Stochastic Search for End-to-end Learning and Control
Ioannis Exarchos · Marcus A Pereira · Ziyi Wang · Evangelos Theodorou
Poster
Thu 9:00 Local Search Algorithms for Rank-Constrained Convex Optimization
Kyriakos Axiotis · Maxim Sviridenko
Poster
Mon 1:00 Wasserstein-2 Generative Networks
Alexander Korotin · Vage Egiazarian · Arip Asadulaev · Alexander Safin · Evgeny Burnaev
Poster
Thu 17:00 Convex Regularization behind Neural Reconstruction
Arda Sahiner · Morteza Mardani · Batu Ozturkler · Mert Pilanci · John M Pauly
Poster
Mon 17:00 The Role of Momentum Parameters in the Optimal Convergence of Adaptive Polyak's Heavy-ball Methods
Wei Tao · sheng long · Gaowei Wu · Qing Tao