331 citations · 1.8k across the 71 of their papers we have counts for
87 papers
Inference for Projection Parameters in Linear Regression: beyond
Woonyoung Chang, Arun Kumar Kuchibhotla, Alessandro Rinaldo
We consider the problem of inference for projection parameters in linear regression with increasing dimensions. This problem has been studied under a variety of assumptions in the…
Multilayer random dot product graphs: Estimation and online change point detection
Fan Wang, Wanshan Li, Oscar Hernan Madrid Padilla +2
We study the multilayer random dot product graph (MRDPG) model, an extension of the random dot product graph to multilayer networks. To estimate the edge probabilities, we deploy a…
Dual Induction CLT for High-dimensional m-dependent Data
Heejong Bong, Arun Kumar Kuchibhotla, Alessandro Rinaldo
We derive novel and sharp high-dimensional Berry--Esseen bounds for the sum of -dependent random vectors over the class of hyper-rectangles exhibiting only a poly-logarithmic de…
High-probability sample complexities for policy evaluation with linear function approximation
Gen Li, Weichen Wu, Yuejie Chi +3
This paper is concerned with the problem of policy evaluation with linear function approximation in discounted infinite horizon Markov decision processes. We investigate the sample…
A Sequential Test for Log-Concavity
Aditya Gangrade, Alessandro Rinaldo, Aaditya Ramdas
On observing a sequence of i.i.d.\ data with distribution on , we ask the question of how one can test the null hypothesis that has a log-concave density. Thi…
Divide and Conquer Dynamic Programming: An Almost Linear Time Change Point Detection Methodology in High Dimensions
Wanshan Li, Daren Wang, Alessandro Rinaldo
We develop a novel, general and computationally efficient framework, called Divide and Conquer Dynamic Programming (DCDP), for localizing change points in time series data with hig…