research
∙
05/18/2023
Minimum-Risk Recalibration of Classifiers
Recalibrating probabilistic classifiers is vital for enhancing the relia...
share
research
∙
05/16/2023
Errors-in-variables Fréchet Regression with Low-rank Covariate Approximation
Fréchet regression has emerged as a promising approach for regression an...
research
∙
03/07/2023
Robustness-preserving Lifelong Learning via Dataset Condensation
Lifelong learning (LL) aims to improve a predictive model as the data so...
research
∙
02/05/2023
On Kronecker Separability of Multiway Covariance
Multiway data analysis is aimed at inferring patterns from data represen...
research
∙
12/04/2022
Kronecker-structured Covariance Models for Multiway Data
Many applications produce multiway data of exceedingly high dimension. M...
research
∙
06/11/2020
Sample Efficient Reinforcement Learning via Low-Rank Matrix Estimation
We consider the question of learning Q-function in a sample efficient ma...
research
∙
02/28/2019
Model Agnostic High-Dimensional Error-in-Variable Regression
We consider the problem of high-dimensional error-in-variable regression...
research
∙
12/31/2018
Learning Mixture Model with Missing Values and its Application to Rankings
We consider the question of learning mixtures of generic sub-gaussian di...
research
∙
03/09/2018
