Search All 2022 Events
 

10 Results

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Poster
Thu 9:00 Toward Equation of Motion for Deep Neural Networks: Continuous-time Gradient Descent and Discretization Error Analysis
Taiki Miyagawa
Workshop
Charting Flat Minima Using the Conserved Quantities of Gradient Flow
Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
Poster
Tue 14:00 On the Effective Number of Linear Regions in Shallow Univariate ReLU Networks: Convergence Guarantees and Implicit Bias
Itay Safran · Gal Vardi · Jason Lee
Poster
Wed 14:00 Non-Convex Bilevel Games with Critical Point Selection Maps
Michael Arbel · Julien Mairal
Workshop
Particle-based Variational Inference with Preconditioned Functional Gradient Flow
Hanze Dong · Xi Wang · Yong Lin · Tong Zhang
Poster
Tue 9:00 From Gradient Flow on Population Loss to Learning with Stochastic Gradient Descent
Christopher De Sa · Satyen Kale · Jason Lee · Ayush Sekhari · Karthik Sridharan
Poster
Tue 9:00 Gradient flow dynamics of shallow ReLU networks for square loss and orthogonal inputs
Etienne Boursier · Loucas PILLAUD-VIVIEN · Nicolas Flammarion
Affinity Workshop
A Noether's theorem for gradient flow: Continuous symmetries of the architecture and conserved quantities of gradient flow
Bo Zhao · Iordan Ganev · Robin Walters · Rose Yu · Nima Dehmamy
Poster
Tue 14:00 Old can be Gold: Better Gradient Flow can Make Vanilla-GCNs Great Again
AJAY JAISWAL · Peihao Wang · Tianlong Chen · Justin Rousseau · Ying Ding · Zhangyang Wang
Poster
Thu 14:00 Variational inference via Wasserstein gradient flows
Marc Lambert · Sinho Chewi · Francis Bach · Silvère Bonnabel · Philippe Rigollet