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05/04/2023
A Spectral Method for Identifiable Grade of Membership Analysis with Binary Responses
Grade of Membership (GoM) models are popular individual-level mixture mo...
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03/31/2023
Learning from Similar Linear Representations: Adaptivity, Minimaxity, and Robustness
Representation multi-task learning (MTL) and transfer learning (TL) have...
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01/09/2023
Latent Conjunctive Bayesian Network: Unify Attribute Hierarchy and Bayesian Network for Cognitive Diagnosis
Cognitive diagnostic assessment aims to measure specific knowledge struc...
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03/08/2022
Blessing of Dependence: Identifiability and Geometry of Discrete Models with Multiple Binary Latent Variables
Identifiability of discrete statistical models with latent variables is ...
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09/24/2021
Dimension-Grouped Mixed Membership Models for Multivariate Categorical Data
Mixed Membership Models (MMMs) are a popular family of latent structure ...
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03/30/2021
A Tensor-EM Method for Large-Scale Latent Class Analysis with Clustering Consistency
Latent class models are powerful statistical modeling tools widely used ...
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01/25/2021
Identifying Interpretable Discrete Latent Structures from Discrete Data
High dimensional categorical data are routinely collected in biomedical ...
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09/09/2020
A Joint MLE Approach to Large-Scale Structured Latent Attribute Analysis
Structured Latent Attribute Models (SLAMs) are a family of discrete late...
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06/19/2019
Identification and Estimation of Hierarchical Latent Attribute Models
Hierarchical Latent Attribute Models (HLAMs) are a popular family of dis...
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04/08/2019
Learning Attribute Patterns in High-Dimensional Structured Latent Attribute Models
Structured latent attribute models (SLAMs) are a special family of discr...
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10/09/2018
Sufficient and Necessary Conditions for the Identifiability of the Q-matrix
Restricted latent class models (RLCMs) have recently gained prominence i...
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03/12/2018
Partial Identifiability of Restricted Latent Class Models
Latent class models have wide applications in social and biological scie...
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11/08/2017