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03/21/2023
Optimal Individualized Treatment Rule for Combination Treatments Under Budget Constraints
The individualized treatment rule (ITR), which recommends an optimal tre...
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02/10/2023
De-confounding causal inference using latent multiple-mediator pathways
Causal effect estimation from observational data is one of the essential...
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02/05/2023
Crowdsourcing Utilizing Subgroup Structure of Latent Factor Modeling
Crowdsourcing has emerged as an alternative solution for collecting larg...
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11/08/2021
Query-augmented Active Metric Learning
In this paper we propose an active metric learning method for clustering...
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11/07/2021
High-order joint embedding for multi-level link prediction
Link prediction infers potential links from observed networks, and is on...
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10/20/2021
Estimating Optimal Infinite Horizon Dynamic Treatment Regimes via pT-Learning
Recent advances in mobile health (mHealth) technology provide an effecti...
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08/18/2021
Weak signal identification and inference in penalized likelihood models for categorical responses
Penalized likelihood models are widely used to simultaneously select var...
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05/17/2021
Dermoscopic Image Classification with Neural Style Transfer
Skin cancer, the most commonly found human malignancy, is primarily diag...
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11/06/2020
Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness
Due to accessible big data collections from consumers, products, and sto...
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03/12/2020
Dynamic Tensor Recommender Systems
Recommender systems have been extensively used by the entertainment indu...
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01/14/2020
Multicategory Angle-based Learning for Estimating Optimal Dynamic Treatment Regimes with Censored Data
An optimal dynamic treatment regime (DTR) consists of a sequence of deci...
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03/21/2019
Individualized Multilayer Tensor Learning with An Application in Imaging Analysis
This work is motivated by multimodality breast cancer imaging data, whic...
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01/12/2019
Integrating multi-source block-wise missing data in model selection
For multi-source data, blocks of variable information from certain sourc...
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12/16/2018
Community Detection with Dependent Connectivity
In network analysis, within-community members are more likely to be conn...
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05/07/2018
Semi-Orthogonal Non-Negative Matrix Factorization
Non-negative Matrix Factorization (NMF) is a popular clustering and dime...
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11/05/2017