Skip to yearly menu bar Skip to main content


Search All 2022 Events
 

8 Results

<<   <   Page 1 of 1   >>   >
Workshop
Linear Convergence Analysis of Neural Collapse with Unconstrained Features
Peng Wang · Huikang Liu · Can Yaras · Laura Balzano · Qing Qu
Poster
Wed 9:00 A Communication-efficient Algorithm with Linear Convergence for Federated Minimax Learning
Zhenyu Sun · Ermin Wei
Poster
Thu 9:00 Acceleration in Distributed Sparse Regression
Marie Maros · Gesualdo Scutari
Poster
Thu 14:00 DGD^2: A Linearly Convergent Distributed Algorithm For High-dimensional Statistical Recovery
Marie Maros · Gesualdo Scutari
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
Thu 9:00 On global convergence of ResNets: From finite to infinite width using linear parameterization
Raphaël Barboni · Gabriel Peyré · Francois-Xavier Vialard
Poster
Wed 9:00 Global Linear and Local Superlinear Convergence of IRLS for Non-Smooth Robust Regression
Liangzu Peng · Christian Kümmerle · Rene Vidal
Poster
Wed 14:00 Local Linear Convergence of Gradient Methods for Subspace Optimization via Strict Complementarity
Ron Fisher · Dan Garber