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09/14/2023
Approximate co-sufficient sampling with regularization
In this work, we consider the problem of goodness-of-fit (GoF) testing f...
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06/14/2023
Integrating Uncertainty Awareness into Conformalized Quantile Regression
Conformalized Quantile Regression (CQR) is a recently proposed method fo...
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06/10/2023
Distribution-free inference with hierarchical data
This paper studies distribution-free inference in settings where the dat...
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05/18/2023
Conformalized matrix completion
Matrix completion aims to estimate missing entries in a data matrix, usi...
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04/08/2023
De Finetti's Theorem and Related Results for Infinite Weighted Exchangeable Sequences
De Finetti's theorem, also called the de Finetti-Hewitt-Savage theorem, ...
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03/05/2023
Iterative Approximate Cross-Validation
Cross-validation (CV) is one of the most popular tools for assessing and...
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01/30/2023
Selective inference for clustering with unknown variance
In many modern statistical problems, the limited available data must be ...
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01/30/2023
Bagging Provides Assumption-free Stability
Bagging is an important technique for stabilizing machine learning model...
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11/02/2022
Conformalized survival analysis with adaptive cutoffs
This paper introduces a method that constructs valid and efficient lower...
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05/30/2022
Derandomized knockoffs: leveraging e-values for false discovery rate control
Model-X knockoffs is a flexible wrapper method for high-dimensional regr...
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05/07/2022
Training-conditional coverage for distribution-free predictive inference
The field of distribution-free predictive inference provides tools for p...
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04/28/2022
Generalized permutation tests
Permutation tests are an immensely popular statistical tool, used for te...
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02/27/2022
Conformal prediction beyond exchangeability
Conformal prediction is a popular, modern technique for providing valid ...
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01/12/2022
Half-Trek Criterion for Identifiability of Latent Variable Models
We consider linear structural equation models with latent variables and ...
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11/30/2021
Black box tests for algorithmic stability
Algorithmic stability is a concept from learning theory that expresses t...
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06/16/2021
Binary classification with corrupted labels
In a binary classification problem where the goal is to fit an accurate ...
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05/28/2021
Distribution-free inference for regression: discrete, continuous, and in between
In data analysis problems where we are not able to rely on distributiona...
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05/17/2021
Convergence guarantee for the sparse monotone single index model
We consider a high-dimensional monotone single index model (hdSIM), whic...
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07/20/2020
Testing goodness-of-fit and conditional independence with approximate co-sufficient sampling
Goodness-of-fit (GoF) testing is ubiquitous in statistics, with direct t...
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04/20/2020
Is distribution-free inference possible for binary regression?
For a regression problem with a binary label response, we examine the pr...
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02/20/2020
Predictive Inference Is Free with the Jackknife+-after-Bootstrap
Ensemble learning is widely used in applications to make predictions in ...
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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...
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10/06/2019
Convex and Non-convex Approaches for Statistical Inference with Noisy Labels
We study the problem of estimation and testing in logistic regression wi...
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08/15/2019
With Malice Towards None: Assessing Uncertainty via Equalized Coverage
An important factor to guarantee a fair use of data-driven recommendatio...
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08/13/2019
The bias of isotonic regression
We study the bias of the isotonic regression estimator. While there is e...
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05/08/2019
Predictive inference with the jackknife+
This paper introduces the jackknife+, which is a novel method for constr...
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04/12/2019
Conformal Prediction Under Covariate Shift
We extend conformal prediction methodology beyond the case of exchangeab...
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03/12/2019
The limits of distribution-free conditional predictive inference
We consider the problem of distribution-free predictive inference, with ...
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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...
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07/14/2018
The conditional permutation test
We propose a general new method, the conditional permutation test, for t...
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05/16/2018
Prediction Rule Reshaping
Two methods are proposed for high-dimensional shape-constrained regressi...
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04/24/2018
Between hard and soft thresholding: optimal iterative thresholding algorithms
Iterative thresholding algorithms seek to optimize a differentiable obje...
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01/11/2018
Robust inference with knockoffs
We consider the variable selection problem, which seeks to identify impo...
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09/13/2017
Alternating minimization and alternating descent over nonconvex sets
We analyze the performance of alternating minimization for loss function...
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03/18/2017
A unified treatment of multiple testing with prior knowledge using the p-filter
A significant literature studies ways of employing prior knowledge to im...
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12/10/2015
