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Oral
Tue 19:55 Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
Workshop
Fri 8:40 Biased Client Selection for Improved Convergence of Federated Learning
Gauri Joshi
Poster
Mon 9:00 Multi-Level Local SGD: Distributed SGD for Heterogeneous Hierarchical Networks
Timothy Castiglia · Anirban Das · Stacy Patterson
Poster
Thu 1:00 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
Poster
Mon 9:00 Accelerating Convergence of Replica Exchange Stochastic Gradient MCMC via Variance Reduction
Wei Deng · Qi Feng · Georgios Karagiannis · Guang Lin · Faming Liang
Poster
Tue 17:00 A unifying view on implicit bias in training linear neural networks
Chulhee Yun · Shankar Krishnan · Hossein Mobahi
Poster
Tue 9:00 On the Theory of Implicit Deep Learning: Global Convergence with Implicit Layers
Kenji Kawaguchi
Workshop
Fri 9:06 Q&A for Biased Client Selection for Improved Convergence of Federated Learning
Poster
Mon 9:00 On the Impossibility of Global Convergence in Multi-Loss Optimization
Alistair Letcher
Poster
Mon 9:00 Fast convergence of stochastic subgradient method under interpolation
Huang Fang · Zhenan Fan · Michael Friedlander
Poster
Thu 17:00 Global Convergence of Three-layer Neural Networks in the Mean Field Regime
Huy Tuan Pham · Phan-Minh Nguyen
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