research
∙
07/17/2023
Tight Distribution-Free Confidence Intervals for Local Quantile Regression
It is well known that it is impossible to construct useful confidence in...
share
research
∙
05/23/2023
Uncertainty Quantification over Graph with Conformalized Graph Neural Networks
Graph Neural Networks (GNNs) are powerful machine learning prediction mo...
research
∙
11/11/2022
Tractable Evaluation of Stein's Unbiased Risk Estimator with Convex Regularizers
Stein's unbiased risk estimate (SURE) gives an unbiased estimate of the ...
research
∙
09/30/2022
Overparameterized ReLU Neural Networks Learn the Simplest Models: Neural Isometry and Exact Recovery
The practice of deep learning has shown that neural networks generalize ...
research
∙
08/17/2022
Conformal Inference for Online Prediction with Arbitrary Distribution Shifts
Conformal inference is a flexible methodology for transforming the predi...
research
∙
06/08/2021
Searching for consistent associations with a multi-environment knockoff filter
This paper develops a method based on model-X knockoffs to find conditio...
research
∙
06/01/2021
Adaptive Conformal Inference Under Distribution Shift
We develop methods for forming prediction sets in an online setting wher...
research
∙
04/16/2021
Testing for Outliers with Conformal p-values
This paper studies the construction of p-values for nonparametric outlie...
research
∙
12/04/2020
Derandomizing Knockoffs
Model-X knockoffs is a general procedure that can leverage any feature i...
research
∙
02/22/2020
Causal Inference in Genetic Trio Studies
We introduce a method to rigorously draw causal inferences—inferences im...
research
∙
01/22/2020
Knockoffs with Side Information
We consider the problem of assessing the importance of multiple variable...
research
∙
03/01/2019
Metropolized Knockoff Sampling
Model-X knockoffs is a wrapper that transforms essentially any feature i...
research
∙
12/29/2018
On the Construction of Knockoffs in Case-Control Studies
Consider a case-control study in which we have a random sample, construc...
research
∙
12/18/2017
A Power and Prediction Analysis for Knockoffs with Lasso Statistics
Knockoffs is a new framework for controlling the false discovery rate (F...
research
∙
09/19/2016
The Projected Power Method: An Efficient Algorithm for Joint Alignment from Pairwise Differences
Various applications involve assigning discrete label values to a collec...
research
∙
11/05/2015