
MultipleSplitting Projection Test for HighDimensional Mean Vectors
We propose a multiplesplitting projection test (MPT) for onesample mea...
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Powerenhanced simultaneous test of highdimensional mean vectors and covariance matrices with application to geneset testing
Powerenhanced tests with highdimensional data have received growing at...
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Statistical Inference for Linear Mediation Models with Highdimensional Mediators and Application to Studying Stock Reaction to COVID19 Pandemic
Mediation analysis draws increasing attention in many scientific areas s...
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Transferring Knowledge with Attention Distillation for MultiDomain ImagetoImage Translation
Gradientbased attention modeling has been used widely as a way to visua...
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Learning Local Recurrent Models for Human Mesh Recovery
We consider the problem of estimating framelevel full human body meshes...
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MonoIndoor: Towards Good Practice of SelfSupervised Monocular Depth Estimation for Indoor Environments
Selfsupervised depth estimation for indoor environments is more challen...
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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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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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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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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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Nearly DimensionIndependent 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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Estimation and Inference for the Mediation Effect in a Timevarying Mediation Model
Traditional mediation analysis typically examines the relations among an...
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A Robust Consistent Information Criterion for Model Selection based on Empirical Likelihood
Conventional likelihoodbased information criteria for model selection r...
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A New Procedure for Controlling False Discovery Rate in LargeScale ttests
This paper is concerned with false discovery rate (FDR) control in large...
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Inference in HighDimensional Linear Measurement Error Models
For a highdimensional linear model with a finite number of covariates m...
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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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Towards Visually Explaining Variational Autoencoders
Recent advances in Convolutional Neural Network (CNN) model interpretabi...
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Modelfree Feature Screening and FDR Control with Knockoff Features
This paper proposes a modelfree and dataadaptive feature screening met...
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Modelfree Feature Screening with Projection Correlation and FDR Control with Knockoff Features
This paper proposes a modelfree and dataadaptive feature screening met...
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Distributed Feature Screening via Componentwise Debiasing
Feature screening is a powerful tool in the analysis of high dimensional...
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On the Feasibility of Distributed Kernel Regression for Big Data
In modern scientific research, massive datasets with huge numbers of obs...
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