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06/30/2023
Flexible and Accurate Methods for Estimation and Inference of Gaussian Graphical Models with Applications
The Gaussian graphical model (GGM) incorporates an undirected graph to r...
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06/19/2023
Integrating Tick-level Data and Periodical Signal for High-frequency Market Making
We focus on the problem of market making in high-frequency trading. Mark...
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03/05/2023
MFAI: A Scalable Bayesian Matrix Factorization Approach to Leveraging Auxiliary Information
In various practical situations, matrix factorization methods suffer fro...
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06/19/2021
Deep Generative Learning via Schrödinger Bridge
We propose to learn a generative model via entropy interpolation with a ...
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12/14/2020
Learning Hybrid Representations for Automatic 3D Vessel Centerline Extraction
Automatic blood vessel extraction from 3D medical images is crucial for ...
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05/19/2020
On the Bound of Cumulative Return in Trading Series and the Verification Using Technical Trading Rules
Although there is a wide use of technical trading rules in stock markets...
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10/13/2019
A Coding-free Software Framework of Developing Web Data Management Systems
More and more enterprises recently intend to deploy data management syst...
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02/25/2019
Wasserstein-Wasserstein Auto-Encoders
To address the challenges in learning deep generative models (e.g.,the b...
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02/10/2019
BOLT-SSI: A Statistical Approach to Screening Interaction Effects for Ultra-High Dimensional Data
Detecting interaction effects is a crucial step in various applications....
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11/26/2018
Bayesian Weighted Mendelian Randomization for Causal Inference based on Summary Statistics
The results from Genome-Wide Association Studies (GWAS) on thousands of ...
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07/27/2018
VIMCO: Variational Inference for Multiple Correlated Outcomes in Genome-wide Association Studies
In Genome-Wide Association Studies (GWAS) where multiple correlated trai...
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05/03/2018
REMI: Regression with marginal information and its application in genome-wide association studies
In this study, we consider the problem of variable selection and estimat...
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04/30/2018
Joint Analysis of Individual-level and Summary-level GWAS Data by Leveraging Pleiotropy
A large number of recent genome-wide association studies (GWASs) for com...
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03/28/2018
BIVAS: A scalable Bayesian method for bi-level variable selection with applications
In this paper, we consider a Bayesian bi-level variable selection proble...
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03/20/2018
Unsupervised Cross-dataset Person Re-identification by Transfer Learning of Spatial-Temporal Patterns
Most of the proposed person re-identification algorithms conduct supervi...
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03/06/2015
Total Variation Regularized Tensor RPCA for Background Subtraction from Compressive Measurements
Background subtraction has been a fundamental and widely studied task in...
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01/15/2014
Low-Rank Modeling and Its Applications in Image Analysis
Low-rank modeling generally refers to a class of methods that solve prob...
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09/05/2011