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09/05/2023
A Likelihood Approach to Incorporating Self-Report Data in HIV Recency Classification
Estimating new HIV infections is significant yet challenging due to the ...
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04/26/2023
Enhancing Robustness of Gradient-Boosted Decision Trees through One-Hot Encoding and Regularization
Gradient-boosted decision trees (GBDT) are widely used and highly effect...
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04/14/2023
Detection and Estimation of Structural Breaks in High-Dimensional Functional Time Series
In this paper, we consider detecting and estimating breaks in heterogene...
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04/12/2023
RECLIP: Resource-efficient CLIP by Training with Small Images
We present RECLIP (Resource-efficient CLIP), a simple method that minimi...
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03/23/2023
Functional-Coefficient Quantile Regression for Panel Data with Latent Group Structure
This paper considers estimating functional-coefficient models in panel q...
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12/05/2022
Generalized Varying Coefficient Mediation Models
Motivated by an analysis of causal mechanism from economic stress to ent...
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07/18/2022
MonoIndoor++:Towards Better Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised monocular depth estimation has seen significant progress...
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03/27/2022
Invariance principle and CLT for the spiked eigenvalues of large-dimensional Fisher matrices and applications
This paper aims to derive asymptotical distributions of the spiked eigen...
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02/14/2022
Causal Structural Learning on MPHIA Individual Dataset
The Population-based HIV Impact Assessment (PHIA) is an ongoing project ...
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12/07/2021
A causal approach to functional mediation analysis with application to a smoking cessation intervention
The increase in the use of mobile and wearable devices now allow dense a...
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10/29/2021
Multiple-Splitting Projection Test for High-Dimensional Mean Vectors
We propose a multiple-splitting projection test (MPT) for one-sample mea...
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09/30/2021
Power-enhanced simultaneous test of high-dimensional mean vectors and covariance matrices with application to gene-set testing
Power-enhanced tests with high-dimensional data have received growing at...
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08/27/2021
Statistical Inference for Linear Mediation Models with High-dimensional Mediators and Application to Studying Stock Reaction to COVID-19 Pandemic
Mediation analysis draws increasing attention in many scientific areas s...
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08/17/2021
Transferring Knowledge with Attention Distillation for Multi-Domain Image-to-Image Translation
Gradient-based attention modeling has been used widely as a way to visua...
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07/27/2021
Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating frame-level full human body meshes...
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07/26/2021
MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments
Self-supervised depth estimation for indoor environments is more challen...
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06/22/2021
Doubly Robust Feature Selection with Mean and Variance Outlier Detection and Oracle Properties
We propose a general approach to handle data contaminations that might d...
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05/17/2021
A Distribution Free Conditional Independence Test with Applications to Causal Discovery
This paper is concerned with test of the conditional independence. We fi...
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04/12/2021
Probabilistic HIV Recency Classification – A Logistic Regression without Labeled Individual Level Training Data
Accurate HIV incidence estimation based on individual recent infection s...
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10/05/2020
Learning the aerodynamic design of supercritical airfoils through deep reinforcement learning
The aerodynamic design of modern civil aircraft requires a true sense of...
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09/04/2020
Nearly Dimension-Independent Sparse Linear Bandit over Small Action Spaces via Best Subset Selection
We consider the stochastic contextual bandit problem under the high dime...
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08/26/2020
Estimation and Inference for the Mediation Effect in a Time-varying Mediation Model
Traditional mediation analysis typically examines the relations among an...
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06/23/2020
A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood
Conventional likelihood-based information criteria for model selection r...
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02/28/2020
A New Procedure for Controlling False Discovery Rate in Large-Scale t-tests
This paper is concerned with false discovery rate (FDR) control in large...
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01/28/2020
Inference in High-Dimensional Linear Measurement Error Models
For a high-dimensional linear model with a finite number of covariates m...
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12/13/2019
Central Limit Theorem for Linear Spectral Statistics of Large Dimensional Kendall's Rank Correlation Matrices and its Applications
This paper is concerned with the limiting spectral behaviors of large di...
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11/18/2019
Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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08/19/2019
Model-free Feature Screening and FDR Control with Knockoff Features
This paper proposes a model-free and data-adaptive feature screening met...
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08/19/2019
Model-free Feature Screening with Projection Correlation and FDR Control with Knockoff Features
This paper proposes a model-free and data-adaptive feature screening met...
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03/09/2019
Distributed Feature Screening via Componentwise Debiasing
Feature screening is a powerful tool in the analysis of high dimensional...
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05/05/2015