|
Poster
|
Thu 14:00
|
Variational inference via Wasserstein gradient flows
Marc Lambert · Sinho Chewi · Francis Bach · Silvère Bonnabel · Philippe Rigollet
|
|
|
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
|
Wed 14:00
|
Non-Convex Bilevel Games with Critical Point Selection Maps
Michael Arbel · Julien Mairal
|
|
|
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
|
|
|
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
|
|
