research
∙
02/14/2023
Derandomized Novelty Detection with FDR Control via Conformal E-values
Conformal prediction and other randomized model-free inference technique...
share
research
∙
01/27/2023
Conformal inference is (almost) free for neural networks trained with early stopping
Early stopping based on hold-out data is a popular regularization techni...
research
∙
11/09/2022
Conformal Frequency Estimation with Sketched Data under Relaxed Exchangeability
A flexible method is developed to construct a confidence interval for th...
research
∙
09/05/2022
Bayesian nonparametric estimation of coverage probabilities and distinct counts from sketched data
The estimation of coverage probabilities, and in particular of the missi...
research
∙
08/23/2022
Integrative conformal p-values for powerful out-of-distribution testing with labeled outliers
This paper develops novel conformal methods to test whether a new observ...
research
∙
06/02/2022
Coordinated Double Machine Learning
Double machine learning is a statistical method for leveraging complex b...
research
∙
05/17/2022
Individualized conditional independence testing under model-X with heterogeneous samples and interactions
Model-X knockoffs and the conditional randomization test are methods tha...
research
∙
05/12/2022
Training Uncertainty-Aware Classifiers with Conformalized Deep Learning
Deep neural networks are powerful tools to detect hidden patterns in dat...
research
∙
04/08/2022
Conformalized Frequency Estimation from Sketched Data
A flexible conformal inference method is developed to construct confiden...
research
∙
08/19/2021
Transfer learning in genome-wide association studies with knockoffs
This paper presents and compares alternative transfer learning methods t...
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
∙
05/18/2021
Conformal histogram regression
This paper develops a conformal method to compute prediction intervals f...
research
∙
04/16/2021
Testing for Outliers with Conformal p-values
This paper studies the construction of p-values for nonparametric outlie...
research
∙
06/08/2020
Interpretable Signal Analysis with Knockoffs Enhances Classification of Bacterial Raman Spectra
Interpretability is important for many applications of machine learning ...
research
∙
06/03/2020
Classification with Valid and Adaptive Coverage
Conformal inference, cross-validation+, and the jackknife+ are hold-out ...
research
∙
02/22/2020
Causal Inference in Genetic Trio Studies
We introduce a method to rigorously draw causal inferences—inferences im...
research
∙
09/12/2019
A comparison of some conformal quantile regression methods
We compare two recently proposed methods that combine ideas from conform...
research
∙
03/13/2019
Rejoinder: "Gene Hunting with Hidden Markov Model Knockoffs"
In this paper we deepen and enlarge the reflection on the possible advan...
research
∙
11/16/2018
