
Correcting the User FeedbackLoop Bias for Recommendation Systems
Selection bias is prevalent in the data for training and evaluating reco...
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Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
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Fast random number generator based on optical physical unclonable functions
We propose an approach for fast random number generation based on homema...
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Learning to Collaborate
In this paper, we focus on effective learning over a collaborative resea...
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Discrete Lehmann representation of imaginary time Green's functions
We present an efficient basis for imaginary time Green's functions based...
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A Scalable Actorbased Programming System for PGAS Runtimes
PGAS runtimes are well suited to irregular applications due to their sup...
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PPCA: Privacypreserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
Privacypreserving data mining has become an important topic. People hav...
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Regularized Fingerprinting in Detection and Attribution of Climate Change with Weight Matrix Optimizing the Efficiency in Scaling Factor Estimation
The optimal fingerprinting method for detection and attribution of clima...
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It's All Relative: New Regression Paradigm for Microbiome Compositional Data
Microbiome data are complex in nature, involving high dimensionality, co...
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The More Data, the Better? Demystifying DeletionBased Methods in Linear Regression with Missing Data
We compare two deletionbased methods for dealing with the problem of mi...
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Generalized Cosparse Factor Regression
Multivariate regression techniques are commonly applied to explore the a...
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Robust Finite Mixture Regression for Heterogeneous Targets
Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...
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Suicide Risk Modeling with Uncertain Diagnostic Records
Motivated by the pressing need for suicide prevention through improving ...
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Multivariate LogContrast Regression with SubCompositional Predictors: Testing the Association Between Preterm Infants' Gut Microbiome and Neurobehavioral Outcomes
The socalled gutbrain axis has stimulated extensive research on microb...
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Statistically Guided DivideandConquer for Sparse Factorization of Large Matrix
The sparse factorization of a large matrix is fundamental in modern stat...
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Spatial Tweedie exponential dispersion models
This paper proposes a general modeling framework that allows for uncerta...
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Pursuing Sources of Heterogeneity in Modeling Clustered Population
Researchers often have to deal with heterogeneous population with mixed ...
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Multivariate Functional Regression via Nested ReducedRank Regularization
We propose a nested reducedrank regression (NRRR) approach in fitting r...
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Spatial risk estimation in Tweedie compound Poisson double generalized linear models
Tweedie exponential dispersion family constitutes a fairly rich subclas...
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Boosted Sparse and LowRank Tensor Regression
We propose a sparse and lowrank tensor regression model to relate a uni...
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LogContrast Regression with Functional Compositional Predictors: Linking Preterm Infant's Gut Microbiome Trajectories in Early Postnatal Period to Neurobehavioral Outcome
When compositional data serve as predictors in regression, the logcontr...
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Integrative MultiView ReducedRank Regression: Bridging GroupSparse and LowRank Models
Multiview data have been routinely collected in various fields of scien...
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MultiView Graph Convolutional Network and Its Applications on Neuroimage Analysis for Parkinson's Disease
Parkinson's Disease (PD) is one of the most prevalent neurodegenerative ...
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Beyond the ClickThrough Rate: Web Link Selection with Multilevel Feedback
The web link selection problem is to select a small subset of web links ...
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TimelyThroughput Optimal Scheduling with Prediction
Motivated by the increasing importance of providing delayguaranteed ser...
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SOFAR: largescale association network learning
Many modern big data applications feature large scale in both numbers of...
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Regularization vs. Relaxation: A conic optimization perspective of statistical variable selection
Variable selection is a fundamental task in statistical data analysis. S...
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Kun Chen
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