A Hierarchical Latent Variable Encoder-Decoder Model for Generating Dialogues arXiv:1605.06069v3 [cs.CL] 14 JunIulian V. Serban* , Alessandro Sordoni ‡ , Ryan Lowe , Laurent Charlin , Joelle Pineau ,

Source URL: arxiv.org

A Latent Variable Model of Synchronous Syntactic-Semantic Parsing for Multiple Languages Andrea Gesmundo Univ Geneva Dept Computer Sci

Source URL: aclweb.org

Variational Inference for Latent Variable Modelling of Correlation Structure Andrew G. Wilson Carnegie Mellon University

Source URL: www.cs.cmu.edu

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs: Appendices A. Probabilistic Soft Logic users (i.e., users that are not top users).

Source URL: psl.umiacs.umd.edu

Semi-Supervised and Latent-Variable Models of Natural Language Semantics Dipanjan Das CMU-LTI

Source URL: www.dipanjandas.com

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen H. Bach∗ Bert Huang∗ Jordan Boyd-Graber Lise Getoor

Source URL: stephenbach.net

Paired-Dual Learning for Fast Training of Latent Variable Hinge-Loss MRFs Stephen H. Bach∗ Bert Huang∗ Jordan Boyd-Graber Lise Getoor

Source URL: psl.umiacs.umd.edu

A Latent Variable Model for Geographic Lexical Variation Jacob Eisenstein Brendan O’Connor Noah A. Smith Eric P. Xing School of Computer Science Carnegie Mellon University

Source URL: homes.cs.washington.edu

• Statistics
• Probability
• Statistical natural language processing
• Probability distributions
• Estimation theory
• Regression analysis
• Dynamic topic model
• Latent Dirichlet allocation
• Variational Bayesian methods
• Mixture model
• Topic model
• Normal distribution

Variational Bayesian Learning of Cooperative Vector Quantizer Model - The Theory 
 

Source URL: people.cs.pitt.edu

• Statistics
• Statistical models
• Bayesian network
• Latent variable
• Variational Bayesian methods
• Independent component analysis
• Expectationmaximization algorithm
• Generative model
• Principal component analysis
• Bayesian inference
• Normal distribution
• Mixture model

Hierarchical factor item response theory models for PIRLS: capturing clustering effects at multiple levels 1 Frank Rijmen

Source URL: ierinstitute.org

• Statistics
• Psychometrics
• Statistical models
• Educational psychology
• Educational research
• Psychological testing
• Item response theory
• Progress in International Reading Literacy Study
• Latent variable
• Factor analysis
• Graphical model
• Expectationmaximization algorithm