research
∙
04/29/2023
Estimation and Inference for Minimizer and Minimum of Convex Functions: Optimality, Adaptivity, and Uncertainty Principles
Optimal estimation and inference for both the minimizer and minimum of a...
share
research
∙
03/04/2018
Distributed Nonparametric Regression under Communication Constraints
This paper studies the problem of nonparametric estimation of a smooth f...
research
∙
02/13/2018
Statistical Inference for Online Learning and Stochastic Approximation via Hierarchical Incremental Gradient Descent
Stochastic gradient descent (SGD) is an immensely popular approach for o...
research
∙
05/24/2016
Local Minimax Complexity of Stochastic Convex Optimization
We extend the traditional worst-case, minimax analysis of stochastic con...
research
∙
11/12/2015
Learning Nonparametric Forest Graphical Models with Prior Information
We present a framework for incorporating prior information into nonparam...
research
∙
03/25/2015
Quantized Nonparametric Estimation over Sobolev Ellipsoids
We formulate the notion of minimax estimation under storage or communica...
research
∙
09/24/2014