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Poster
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Thu 1:00
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Loss Function Discovery for Object Detection via Convergence-Simulation Driven Search
Peidong Liu · Gengwei Zhang · Bochao Wang · Hang Xu · Xiaodan Liang · Yong Jiang · Zhenguo Li
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Poster
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Tue 17:00
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RMSprop converges with proper hyper-parameter
Naichen Shi · Dawei Li · Mingyi Hong · Ruoyu Sun
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Poster
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Thu 9:00
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Linear Last-iterate Convergence in Constrained Saddle-point Optimization
Chen-Yu Wei · Chung-Wei Lee · Mengxiao Zhang · Haipeng Luo
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Poster
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Mon 9:00
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Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
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Poster
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Mon 9:00
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Fast convergence of stochastic subgradient method under interpolation
Huang Fang · Zhenan Fan · Michael Friedlander
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Poster
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Mon 9:00
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On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher
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Poster
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Wed 17:00
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Local Convergence Analysis of Gradient Descent Ascent with Finite Timescale Separation
Tanner Fiez · Lillian J Ratliff
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Poster
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Thu 1:00
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Latent Convergent Cross Mapping
Edward De Brouwer · Adam Arany · Jaak Simm · Yves Moreau
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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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Tue 17:00
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A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
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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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Poster
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Mon 17:00
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Proximal Gradient Descent-Ascent: Variable Convergence under KŁ Geometry
Ziyi Chen · Yi Zhou · Tengyu Xu · Yingbin Liang
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