129 citations · 527 across the 38 of their papers we have counts for
20 papers · 1 filter
Inference for change-plane regression
Chaeryon Kang, Hunyong Cho, Rui Song +3
A key challenge in analyzing the behavior of change-plane estimators is that the objective function has multiple minimizers. Two estimators are proposed to deal with this non-uniqu…
On robust learning in the canonical change point problem under heavy tailed errors in finite and growing dimensions
Debarghya Mukherjee, Moulinath Banerjee, Ya'acov Ritov
This paper presents a number of new findings about the canonical change point estimation problem. The first part studies the estimation of a change point on the real line in a simp…
Design of -Optimal Experiments for High dimensional Linear Models
Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov
We study random designs that minimize the asymptotic variance of a de-biased lasso estimator when a large pool of unlabeled data is available but measuring the corresponding respon…
Minimax optimal approaches to the label shift problem in non-parametric settings
Subha Maity, Yuekai Sun, Moulinath Banerjee
We study the minimax rates of the label shift problem in non-parametric classification. In addition to the unsupervised setting in which the learner only has access to unlabeled ex…
Asymptotic normality of a linear threshold estimator in fixed dimension with near-optimal rate
Debarghya Mukherjee, Moulinath Banerjee, Debasri Mukherjee +1
Linear thresholding models postulate that the conditional distribution of a response variable in terms of covariates differs on the two sides of a (typically unknown) hyperplane in…
Inference In High-dimensional Single-Index Models Under Symmetric Designs
Hamid Eftekhari, Moulinath Banerjee, Ya'acov Ritov
The problem of statistical inference for regression coefficients in a high-dimensional single-index model is considered. Under elliptical symmetry, the single index model can be re…