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09/01/2023
Causal Effect Estimation after Propensity Score Trimming with Continuous Treatments
Most works in causal inference focus on binary treatments where one esti...
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07/08/2023
Robust Universal Inference
In statistical inference, it is rarely realistic that the hypothesized s...
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05/31/2023
Online Label Shift: Optimal Dynamic Regret meets Practical Algorithms
This paper focuses on supervised and unsupervised online label shift, wh...
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05/06/2023
The Fundamental Limits of Structure-Agnostic Functional Estimation
Many recent developments in causal inference, and functional estimation ...
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02/06/2023
RLSbench: Domain Adaptation Under Relaxed Label Shift
Despite the emergence of principled methods for domain adaptation under ...
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11/03/2022
Domain Adaptation under Missingness Shift
Rates of missing data often depend on record-keeping policies and thus m...
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07/26/2022
Domain Adaptation under Open Set Label Shift
We introduce the problem of domain adaptation under Open Set Label Shift...
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06/07/2022
Median Regularity and Honest Inference
We introduce a new notion of regularity of an estimator called median re...
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03/02/2022
Minimax rates for heterogeneous causal effect estimation
Estimation of heterogeneous causal effects - i.e., how effects of polici...
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01/11/2022
Leveraging Unlabeled Data to Predict Out-of-Distribution Performance
Real-world machine learning deployments are characterized by mismatches ...
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12/22/2021
Local permutation tests for conditional independence
In this paper, we investigate local permutation tests for testing condit...
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11/14/2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Eigenmaps on Neighborhood Graphs
In this paper we study the statistical properties of Principal Component...
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11/01/2021
Mixture Proportion Estimation and PU Learning: A Modern Approach
Given only positive examples and unlabeled examples (from both positive ...
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08/25/2021
Heavy-tailed Streaming Statistical Estimation
We consider the task of heavy-tailed statistical estimation given stream...
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07/26/2021
Plugin Estimation of Smooth Optimal Transport Maps
We analyze a number of natural estimators for the optimal transport map ...
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06/03/2021
Minimax Optimal Regression over Sobolev Spaces via Laplacian Regularization on Neighborhood Graphs
In this paper we study the statistical properties of Laplacian smoothing...
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05/30/2021
The HulC: Confidence Regions from Convex Hulls
We develop and analyze the HulC, an intuitive and general method for con...
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05/01/2021
RATT: Leveraging Unlabeled Data to Guarantee Generalization
To assess generalization, machine learning scientists typically either (...
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04/29/2021
Gaussian Universal Likelihood Ratio Testing
The likelihood ratio test (LRT) based on the asymptotic chi-squared dist...
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03/12/2021
Minimax Optimal Conditional Density Estimation under Total Variation Smoothness
This paper studies the minimax rate of nonparametric conditional density...
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02/24/2021
Semiparametric counterfactual density estimation
Causal effects are often characterized with averages, which can give an ...
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02/20/2021
On Proximal Policy Optimization's Heavy-tailed Gradients
Modern policy gradient algorithms, notably Proximal Policy Optimization ...
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06/21/2020
Two-Sample Testing on Ranked Preference Data and the Role of Modeling Assumptions
A number of applications require two-sample testing on ranked preference...
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06/17/2020
Discussion of "On nearly assumption-free tests of nominal confidence interval coverage for causal parameters estimated by machine learning"
We congratulate the authors on their exciting paper, which introduces a ...
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03/30/2020
Minimax optimality of permutation tests
Permutation tests are widely used in statistics, providing a finite-samp...
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03/17/2020
A Unified View of Label Shift Estimation
Label shift describes the setting where although the label distribution ...
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01/09/2020
Minimax Optimal Conditional Independence Testing
We consider the problem of conditional independence testing of X and Y g...
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12/24/2019
Universal Inference Using the Split Likelihood Ratio Test
We propose a general method for constructing hypothesis tests and confid...
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11/21/2019
Local Spectral Clustering of Density Upper Level Sets
We analyze the Personalized PageRank (PPR) algorithm, a local spectral m...
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10/07/2019
Gaussian Mixture Clustering Using Relative Tests of Fit
We consider clustering based on significance tests for Gaussian Mixture ...
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09/17/2019
Minimax Confidence Intervals for the Sliced Wasserstein Distance
The Wasserstein distance has risen in popularity in the statistics and m...
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09/16/2019
Interactive Martingale Tests for the Global Null
Global null testing is a classical problem going back about a century to...
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08/02/2019
Path Length Bounds for Gradient Descent and Flow
We provide path length bounds on gradient descent (GD) and flow (GF) cur...
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07/01/2019
A Unified Approach to Robust Mean Estimation
In this paper, we develop connections between two seemingly disparate, b...
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06/08/2018
Nonparametric Regression with Comparisons: Escaping the Curse of Dimensionality with Ordinal Information
In supervised learning, we leverage a labeled dataset to design methods ...
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05/26/2018
Robust Nonparametric Regression under Huber's ε-contamination Model
We consider the non-parametric regression problem under Huber's ϵ-contam...
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05/21/2018
How Many Samples are Needed to Learn a Convolutional Neural Network?
A widespread folklore for explaining the success of convolutional neural...
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04/22/2018
Local White Matter Architecture Defines Functional Brain Dynamics
Large bundles of myelinated axons, called white matter, anatomically con...
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03/22/2018
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
We consider the problem of global optimization of an unknown non-convex ...
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03/02/2018
Robust Multivariate Nonparametric Tests via Projection-Pursuit
In this work, we generalize the Cramér-von Mises statistic via projectio...
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02/19/2018
Robust Estimation via Robust Gradient Estimation
We provide a new computationally-efficient class of estimators for risk ...
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01/11/2018
Sharp instruments for classifying compliers and generalizing causal effects
It is well-known that, without restricting treatment effect heterogeneit...
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12/17/2017
Hypothesis Testing for High-Dimensional Multinomials: A Selective Review
The statistical analysis of discrete data has been the subject of extens...
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10/29/2017
Stochastic Zeroth-order Optimization in High Dimensions
We consider the problem of optimizing a high-dimensional convex function...
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09/01/2017
Low Permutation-rank Matrices: Structural Properties and Noisy Completion
We consider the problem of noisy matrix completion, in which the goal is...
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06/30/2017
Hypothesis Testing For Densities and High-Dimensional Multinomials: Sharp Local Minimax Rates
We consider the goodness-of-fit testing problem of distinguishing whethe...
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02/24/2017
Computationally Efficient Robust Estimation of Sparse Functionals
Many conventional statistical procedures are extremely sensitive to seem...
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02/09/2017
Rate Optimal Estimation and Confidence Intervals for High-dimensional Regression with Missing Covariates
Although a majority of the theoretical literature in high-dimensional st...
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09/04/2016
Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences
We provide two fundamental results on the population (infinite-sample) l...
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06/30/2016