Search Results for author: Kathryn Roeder

Found 5 papers, 3 papers with code

Simultaneous inference for generalized linear models with unmeasured confounders

1 code implementation13 Sep 2023 Jin-Hong Du, Larry Wasserman, Kathryn Roeder

Tens of thousands of simultaneous hypothesis tests are routinely performed in genomic studies to identify differentially expressed genes.

Extrapolated cross-validation for randomized ensembles

no code implementations27 Feb 2023 Jin-Hong Du, Pratik Patil, Kathryn Roeder, Arun Kumar Kuchibhotla

By establishing uniform consistency of our risk extrapolation technique over ensemble and subsample sizes, we show that ECV yields $\delta$-optimal (with respect to the oracle-tuned risk) ensembles for squared prediction risk.

The huge Package for High-dimensional Undirected Graph Estimation in R

no code implementations26 Jun 2020 Tuo Zhao, Han Liu, Kathryn Roeder, John Lafferty, Larry Wasserman

We describe an R package named huge which provides easy-to-use functions for estimating high dimensional undirected graphs from data.

Model Selection Vocal Bursts Intensity Prediction

Gradient-based Sparse Principal Component Analysis with Extensions to Online Learning

2 code implementations19 Nov 2019 Yixuan Qiu, Jing Lei, Kathryn Roeder

In this work we study sparse PCA based on the convex FPS formulation, and propose a new algorithm that is computationally efficient and applicable to large and high-dimensional data sets.

Dimensionality Reduction

Stability Approach to Regularization Selection (StARS) for High Dimensional Graphical Models

2 code implementations NeurIPS 2010 Han Liu, Kathryn Roeder, Larry Wasserman

In this paper, we present StARS: a new stability-based method for choosing the regularization parameter in high dimensional inference for undirected graphs.

Model Selection Vocal Bursts Intensity Prediction

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