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Poster
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Wed 7:30
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SGDA with shuffling: faster convergence for nonconvex-PŁ minimax optimization
Hanseul Cho · Chulhee Yun
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Poster
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Accelerated Single-Call Methods for Constrained Min-Max Optimization
Yang Cai · Weiqiang Zheng
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Poster
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Wed 7:30
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Solving stochastic weak Minty variational inequalities without increasing batch size
Thomas Pethick · Olivier Fercoq · Puya Latafat · Panagiotis Patrinos · Volkan Cevher
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Oral
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Wed 6:50
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Depth Separation with Multilayer Mean-Field Networks
Yunwei Ren · Mo Zhou · Rong Ge
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Poster
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Tue 7:30
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TiAda: A Time-scale Adaptive Algorithm for Nonconvex Minimax Optimization
Xiang Li · Junchi YANG · Niao He
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Poster
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Mon 2:30
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Understanding Edge-of-Stability Training Dynamics with a Minimalist Example
Xingyu Zhu · Zixuan Wang · Xiang Wang · Mo Zhou · Rong Ge
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Poster
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Wed 7:30
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Depth Separation with Multilayer Mean-Field Networks
Yunwei Ren · Mo Zhou · Rong Ge
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Poster
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Understanding the Generalization of Adam in Learning Neural Networks with Proper Regularization
Difan Zou · Yuan Cao · Yuanzhi Li · Quanquan Gu
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Poster
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Behind the Scenes of Gradient Descent: A Trajectory Analysis via Basis Function Decomposition
Jianhao Ma · Lingjun Guo · Salar Fattahi
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Oral
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Wed 1:00
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DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Alexander Tyurin · Peter Richtarik
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Poster
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Wed 2:30
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DASHA: Distributed Nonconvex Optimization with Communication Compression and Optimal Oracle Complexity
Alexander Tyurin · Peter Richtarik
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Poster
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Projective Proximal Gradient Descent for Nonconvex Nonsmooth Optimization: Fast Convergence Without Kurdyka-Lojasiewicz (KL) Property
Yingzhen Yang · Ping Li
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