research
∙
05/08/2023
Isotonic subgroup selection
Given a sample of covariate-response pairs, we consider the subgroup sel...
share
research
∙
04/18/2023
Sharp-SSL: Selective high-dimensional axis-aligned random projections for semi-supervised learning
We propose a new method for high-dimensional semi-supervised learning pr...
research
∙
11/03/2022
The Projected Covariance Measure for assumption-lean variable significance testing
Testing the significance of a variable or group of variables X for predi...
research
∙
05/17/2022
Optimal nonparametric testing of Missing Completely At Random, and its connections to compatibility
Given a set of incomplete observations, we study the nonparametric probl...
research
∙
11/02/2021
Inference in high-dimensional online changepoint detection
We introduce and study two new inferential challenges associated with th...
research
∙
09/02/2021
Optimal subgroup selection
In clinical trials and other applications, we often see regions of the f...
research
∙
08/03/2021
High-dimensional changepoint estimation with heterogeneous missingness
We propose a new method for changepoint estimation in partially-observed...
research
∙
07/15/2021
Nonparametric, tuning-free estimation of S-shaped functions
We consider the nonparametric estimation of an S-shaped regression funct...
research
∙
06/08/2021
Adaptive transfer learning
In transfer learning, we wish to make inference about a target populatio...
research
∙
05/24/2021
A new computational framework for log-concave density estimation
In Statistics, log-concave density estimation is a central problem withi...
research
∙
05/05/2021
A unifying tutorial on Approximate Message Passing
Over the last decade or so, Approximate Message Passing (AMP) algorithms...
research
∙
01/26/2021
USP: an independence test that improves on Pearson's chi-squared and the G-test
We present the U-Statistic Permutation (USP) test of independence in the...
research
∙
09/05/2020
Isotonic regression with unknown permutations: Statistics, computation, and adaptation
Motivated by models for multiway comparison data, we consider the proble...
research
∙
03/07/2020
High-dimensional, multiscale online changepoint detection
We introduce a new method for high-dimensional, online changepoint detec...
research
∙
02/14/2020
Local continuity of log-concave projection, with applications to estimation under model misspecification
The log-concave projection is an operator that maps a d-dimensional dist...
research
∙
01/15/2020
Optimal rates for independence testing via U-statistic permutation tests
We study the problem of independence testing given independent and ident...
research
∙
08/09/2019
Goodness-of-fit testing in high-dimensional generalized linear models
We propose a family of tests to assess the goodness-of-fit of a high-dim...
research
∙
07/23/2019
Minimax rates in sparse, high-dimensional changepoint detection
We study the detection of a sparse change in a high-dimensional mean vec...
research
∙
06/28/2019
High-dimensional principal component analysis with heterogeneous missingness
We study the problem of high-dimensional Principal Component Analysis (P...
research
∙
04/18/2019
Efficient two-sample functional estimation and the super-oracle phenomenon
We consider the estimation of two-sample integral functionals, of the ty...
research
∙
03/14/2019
High-dimensional nonparametric density estimation via symmetry and shape constraints
We tackle the problem of high-dimensional nonparametric density estimati...
research
∙
12/30/2018
Adaptation in multivariate log-concave density estimation
We study the adaptation properties of the multivariate log-concave maxim...
research
∙
07/14/2018
The conditional permutation test
We propose a general new method, the conditional permutation test, for t...
research
∙
05/29/2018
Classification with imperfect training labels
We study the effect of imperfect training data labels on the performance...
research
∙
03/03/2018
Confidence intervals for high-dimensional Cox models
The purpose of this paper is to construct confidence intervals for the r...
research
∙
01/11/2018
Robust inference with knockoffs
We consider the variable selection problem, which seeks to identify impo...
research
∙
12/15/2017
Sparse principal component analysis via random projections
We introduce a new method for sparse principal component analysis, based...
research
∙
11/17/2017
Nonparametric independence testing via mutual information
We propose a test of independence of two multivariate random vectors, gi...
research
∙
04/03/2017
Local nearest neighbour classification with applications to semi-supervised learning
We derive a new asymptotic expansion for the global excess risk of a loc...
research
∙
10/29/2008
