research
∙
02/09/2022
Improving Computational Complexity in Statistical Models with Second-Order Information
It is known that when the statistical models are singular, i.e., the Fis...
share
research
∙
01/27/2021
On the computational and statistical complexity of over-parameterized matrix sensing
We consider solving the low rank matrix sensing problem with Factorized ...
research
∙
08/03/2020
Predicting What You Already Know Helps: Provable Self-Supervised Learning
Self-supervised representation learning solves auxiliary prediction task...
research
∙
07/07/2020
Robust Structured Statistical Estimation via Conditional Gradient Type Methods
Structured statistical estimation problems are often solved by Condition...
research
∙
12/02/2019
Efficient Relaxed Gradient Support Pursuit for Sparsity Constrained Non-convex Optimization
Large-scale non-convex sparsity-constrained problems have recently gaine...
research
∙
10/17/2019
Communication-Efficient Asynchronous Stochastic Frank-Wolfe over Nuclear-norm Balls
Large-scale machine learning training suffers from two prior challenges,...
research
∙
06/06/2019
Primal-Dual Block Frank-Wolfe
We propose a variant of the Frank-Wolfe algorithm for solving a class of...
research
∙
01/23/2019
Bottom-up Object Detection by Grouping Extreme and Center Points
With the advent of deep learning, object detection drifted from a bottom...
research
∙
03/23/2017
