research
∙
01/23/2023
Improved Rate of First Order Algorithms for Entropic Optimal Transport
This paper improves the state-of-the-art rate of a first-order algorithm...
research
∙
12/02/2022
Covariance Estimators for the ROOT-SGD Algorithm in Online Learning
Online learning naturally arises in many statistical and machine learnin...
research
∙
10/29/2022
Solving a Special Type of Optimal Transport Problem by a Modified Hungarian Algorithm
We observe that computing empirical Wasserstein distance in the independ...
research
∙
04/29/2022
The Directional Bias Helps Stochastic Gradient Descent to Generalize in Kernel Regression Models
We study the Stochastic Gradient Descent (SGD) algorithm in nonparametri...
research
∙
04/29/2022
Implicit Regularization Properties of Variance Reduced Stochastic Mirror Descent
In machine learning and statistical data analysis, we often run into obj...
research
∙
03/02/2022