- CONTENT-BASED MUSICAL SIMILARITY COMPUTATION USING THE HIERARCHICAL DIRICHLET PROCESS
- Online Learning for Latent Dirichlet Allocation Matthew D. Hoffman
- Supplement for Nonparametric Density Estimation for Stochastic Optimization with an Observable State
- Multilingual Topic Models for Unaligned Text Jordan Boyd-Graber
- Online Learning for Latent Dirichlet Allocation: Supplementary Material
- Topic Segmentation with an Aspect Hidden Markov Model David M. Blei
- Modeling Science David M. Blei
- Journal of Machine Learning Research 1 (2011) 1-33 Submitted 9/09, Revised 7/10, 1/11; Published 5/11 Dirichlet Process Mixtures of Generalized Linear Models
- A topographic latent source model for fMRI data Samuel J. Gershman a,b,
- Predicting Legislative Roll Calls from Text Sean M. Gerrish SGERRISH@CS.PRINCETON.EDU
- The Discrete Infinite Logistic Normal Distribution for Mixed-Membership Modeling
- Nonparametric Density Estimation for Stochastic Optimization with an Observable State Variable
- The Annals of Applied Statistics 2010, Vol. 4, No. 1, 124150
- The IBP Compound Dirichlet Process and its Application to Focused Topic Modeling
- Dirichlet Process Mixtures of Generalized Linear Models Lauren A. Hannah David M. Blei Warren B. Powell
- Exploiting Covariate Similarity in Sparse Regression via the Pairwise Elastic Net
- The Nested Chinese Restaurant Process and Bayesian Nonparametric Inference of Topic Hierarchies
- Context, Learning, and Extinction Samuel J. Gershman, David M. Blei, and Yael Niv
- Reading Tea Leaves: How Humans Interpret Topic Models Jonathan Chang
- Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
- Proc. of the 12th Int. Conference on Digital Audio Effects (DAFx-09), Como, Italy, September 1-4, 2009
- Relational Topic Models for Document Networks Jonathan Chang
- Markov Topic Models Chong Wang
- Supervised topic models David M. Blei
- A Topic Model for Word Sense Disambiguation Jordan Boyd-Graber
- Dynamic Topic Models David M. Blei BLEI@CS.PRINCETON.EDU
- Nonparametric empirical Bayes for the Dirichlet process mixture model Jon D. McAuliffe David M. Blei Michael I. Jordan
- Hierarchical Topic Models and the Nested Chinese Restaurant Process
- bush i police soviet percent mecham stock dukakis think shot gorbachev year keating market
- TOPIC MODELS DAVID M. BLEI
- PROBABILISTIC MODELS OF TEXT AND IMAGES David Meir Blei
- Simultaneous Image Classification and Annotation Chong Wang, David Blei, Li Fei-Fei
- Modeling Annotated Data David M. Blei
- Nonparametric Bayes Pachinko Allocation Department of Computer Science
- Bayesian Analysis (2006) 1, Number 1, pp. 121144 Variational Inference for Dirichlet Process
- Syntactic Topic Models Jordan Boyd-Graber
- Building and Using a Semantivisual Image Hierarchy Li-Jia Li,1
- Distance dependent Chinese restaurant processes David M. Blei BLEI@CS.PRINCETON.EDU
- A Bayesian Analysis of Dynamics in Free Recall Richard Socher
- BAYESIAN SPECTRAL MATCHING: TURNING YOUNG MC INTO MC HAMMER VIA MCMC SAMPLING
- Syntactic Topic Models Supplement Jordan Boyd-Graber
- EASY AS CBA: A SIMPLE PROBABILISTIC MODEL FOR TAGGING Matthew D. Hoffman
- Hierarchical Dirichlet Processes Yee Whye Teh tehyw@comp.nus.edu.sg
- Correlated Topic Models David M. Blei
- The Annals of Applied Statistics 2007, Vol. 1, No. 1, 1735
- Variational Inference for the Nested Chinese Restaurant Process
- Integrating Topics and Syntax Thomas L. Griffiths Mark Steyvers
- A Language-based Approach to Measuring Scholarly Impact Sean M. Gerrish SGERRISH@CS.PRINCETON.EDU
- Mixed Membership Stochastic Blockmodels Edoardo M. Airoldi 1,2
- Online Variational Inference for the Hierarchical Dirichlet Process Chong Wang John Paisley David M. Blei
- Bayesian Nonparametric Matrix Factorization for Recorded Music Matthew D. Hoffman MDHOFFMA@CS.PRINCETON.EDU
- Hierarchical Maximum Entropy Density Estimation Miroslav Dudik MDUDIK@CS.PRINCETON.EDU
- Connections between the Lines: Augmenting Social Networks with Text
- Supplement to Decoupling Sparsity and Smoothness in the Discrete Hierarchical Dirichlet Process
- Journal of Machine Learning Research 3 (2003) 993-1022 Submitted 2/02; Published 1/03 Latent Dirichlet Allocation
- DATA-DRIVEN RECOMPOSITION USING THE HIERARCHICAL DIRICHLET PROCESS HIDDEN MARKOV MODEL
- Variational Inference for Stick-Breaking Beta Process Priors John Paisley1
- Relative Performance Guarantees for Approximate Inference in Latent Dirichlet Allocation
- Journal of Machine Learning Research 9 (2008) 1823-1856 Submitted 5/07; Revised 6/08; Published 8/08 Mixed Membership Stochastic Blockmodels
- Continuous Time Dynamic Topic Models Computer Science Dept.
- Variational Inference for Adaptor Grammars Shay B. Cohen
- Probabilistic Topic Models David M. Blei
- A Tutorial on Bayesian Nonparametric Models Samuel J. Gershmana,
- Bayesian Checking for Topic Models David Mimno
- Introduction to Probabilistic Topic Models David M. Blei
- Collaborative Topic Modeling for Recommending Scientific Articles
- Journal of Machine Learning Research () Submitted ; Published Distance Dependent Chinese Restaurant Processes
- Spatial distance dependent Chinese restaurant processes for image segmentation
