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Poster
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Wed 14:00
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Sampling without Replacement Leads to Faster Rates in Finite-Sum Minimax Optimization
Aniket Das · Bernhard Schölkopf · Michael Muehlebach
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Poster
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Wed 9:00
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Improving Neural Ordinary Differential Equations with Nesterov's Accelerated Gradient Method
Ho Huu Nghia Nguyen · Tan Nguyen · Huyen Vo · Stanley Osher · Thieu Vo
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Poster
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Thu 9:00
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High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
Jimmy Ba · Murat Erdogdu · Taiji Suzuki · Zhichao Wang · Denny Wu · Greg Yang
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Poster
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Wed 14:00
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DNA: Proximal Policy Optimization with a Dual Network Architecture
Matthew Aitchison · Penny Sweetser
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Poster
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Thu 14:00
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On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond
Xiaotong Yuan · Ping Li
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Poster
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Wed 14:00
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Clipped Stochastic Methods for Variational Inequalities with Heavy-Tailed Noise
Eduard Gorbunov · Marina Danilova · David Dobre · Pavel Dvurechenskii · Alexander Gasnikov · Gauthier Gidel
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Poster
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Tue 14:00
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Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent
Sebastian Dalleiger · Jilles Vreeken
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Poster
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Thu 9:00
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Optimal and Adaptive Monteiro-Svaiter Acceleration
Yair Carmon · Danielle Hausler · Arun Jambulapati · Yujia Jin · Aaron Sidford
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