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05/09/2023
Variational Bayesian Inference for Bipartite Mixed-membership Stochastic Block Model with Applications to Collaborative Filtering
Motivated by the connections between collaborative filtering and network...
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01/31/2023
Privacy Preserving Ultra-Short-term Wind Power Prediction Based on Secure Multi Party Computation
Mining the spatial and temporal correlation of wind farm output data is ...
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12/13/2022
Transfer learning with quantile regression
Quantile regression is increasingly encountered in modern big data appli...
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12/11/2022
Associations Between Natural Language Processing (NLP) Enriched Social Determinants of Health and Suicide Death among US Veterans
Importance: Social determinants of health (SDOH) are known to be associa...
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10/18/2022
NFGen: Automatic Non-linear Function Evaluation Code Generator for General-purpose MPC Platforms
Due to the absence of a library for non-linear function evaluation, so-c...
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06/18/2022
Tree-Guided Rare Feature Selection and Logic Aggregation with Electronic Health Records Data
Statistical learning with a large number of rare binary features is comm...
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05/11/2022
Principal Amalgamation Analysis for Microbiome Data
In recent years microbiome studies have become increasingly prevalent an...
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01/08/2022
Global Convergence Analysis of Deep Linear Networks with A One-neuron Layer
In this paper, we follow Eftekhari's work to give a non-local convergenc...
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11/15/2021
Authentication of optical physical unclonable functions based on single-pixel detection
Physical unclonable function (PUF) has been proposed as a promising and ...
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10/13/2021
libdlr: Efficient imaginary time calculations using the discrete Lehmann representation
We introduce libdlr, a library implementing the recently introduced disc...
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09/13/2021
Correcting the User Feedback-Loop Bias for Recommendation Systems
Selection bias is prevalent in the data for training and evaluating reco...
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09/08/2021
Bionic Optical Physical Unclonable Functions for Authentication and Encryption
Information security is of great importance for modern society with all ...
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09/08/2021
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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08/18/2021
Learning to Collaborate
In this paper, we focus on effective learning over a collaborative resea...
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07/27/2021
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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07/12/2021
A Scalable Actor-based Programming System for PGAS Runtimes
PGAS runtimes are well suited to irregular applications due to their sup...
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05/17/2021
PPCA: Privacy-preserving Principal Component Analysis Using Secure Multiparty Computation(MPC)
Privacy-preserving data mining has become an important topic. People hav...
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12/08/2020
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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11/11/2020
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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10/26/2020
The More Data, the Better? Demystifying Deletion-Based Methods in Linear Regression with Missing Data
We compare two deletion-based methods for dealing with the problem of mi...
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10/16/2020
Generalized Co-sparse Factor Regression
Multivariate regression techniques are commonly applied to explore the a...
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10/12/2020
Robust Finite Mixture Regression for Heterogeneous Targets
Finite Mixture Regression (FMR) refers to the mixture modeling scheme wh...
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09/05/2020
Suicide Risk Modeling with Uncertain Diagnostic Records
Motivated by the pressing need for suicide prevention through improving ...
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05/31/2020
Multivariate Log-Contrast Regression with Sub-Compositional Predictors: Testing the Association Between Preterm Infants' Gut Microbiome and Neurobehavioral Outcomes
The so-called gut-brain axis has stimulated extensive research on microb...
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03/17/2020
Statistically Guided Divide-and-Conquer for Sparse Factorization of Large Matrix
The sparse factorization of a large matrix is fundamental in modern stat...
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03/12/2020
Spatial Tweedie exponential dispersion models
This paper proposes a general modeling framework that allows for uncerta...
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03/10/2020
Pursuing Sources of Heterogeneity in Modeling Clustered Population
Researchers often have to deal with heterogeneous population with mixed ...
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03/10/2020
Multivariate Functional Regression via Nested Reduced-Rank Regularization
We propose a nested reduced-rank regression (NRRR) approach in fitting r...
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12/27/2019
Spatial risk estimation in Tweedie compound Poisson double generalized linear models
Tweedie exponential dispersion family constitutes a fairly rich sub-clas...
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11/03/2018
Boosted Sparse and Low-Rank Tensor Regression
We propose a sparse and low-rank tensor regression model to relate a uni...
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08/07/2018
Log-Contrast 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 log-contr...
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07/26/2018
Integrative Multi-View Reduced-Rank Regression: Bridging Group-Sparse and Low-Rank Models
Multi-view data have been routinely collected in various fields of scien...
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05/22/2018
Multi-View 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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05/04/2018
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
The web link selection problem is to select a small subset of web links ...
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12/15/2017
Timely-Throughput Optimal Scheduling with Prediction
Motivated by the increasing importance of providing delay-guaranteed ser...
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04/26/2017
SOFAR: large-scale association network learning
Many modern big data applications feature large scale in both numbers of...
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10/20/2015