Scalable Hyperparameter Selection for Latent Dirichlet Allocation
From MaRDI portal
Publication:5066757
DOI10.1080/10618600.2020.1741378OpenAlexW3011526392MaRDI QIDQ5066757
No author found.
Publication date: 30 March 2022
Published in: Journal of Computational and Graphical Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/10618600.2020.1741378
model selectionMarkov chain Monte CarloHamiltonian Monte Carlotopic modelingempirical Bayes inference
Related Items
Scalable Hyperparameter Selection for Latent Dirichlet Allocation ⋮ New metrics and tests for subject prevalence in documents based on topic modeling
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Recursive estimation of the mode of a multivariate distribution
- Markov chain Monte Carlo: can we trust the third significant figure?
- A correlated topic model of science
- Geometrizing rates of convergence. II
- Slice sampling. (With discussions and rejoinder)
- An introduction to variational methods for graphical models
- Markov chain Monte Carlo methods and the label switching problem in Bayesian mixture modeling
- Calibration and empirical Bayes variable selection
- α-Stable Limit Laws for Harmonic Mean Estimators of Marginal Likelihoods
- Marginal Likelihood from the Gibbs Output
- Fixed-Width Output Analysis for Markov Chain Monte Carlo
- Hierarchical Dirichlet Processes
- Can the strengths of AIC and BIC be shared? A conflict between model indentification and regression estimation
- Importance-Weighted Marginal Bayesian Posterior Density Estimation
- Computational and Inferential Difficulties with Mixture Posterior Distributions
- 10.1162/jmlr.2003.3.4-5.993
- Marginal Likelihood From the Metropolis–Hastings Output
- Bayesian Density Estimation and Inference Using Mixtures
- Annealing Markov Chain Monte Carlo with Applications to Ancestral Inference
- Scalable Hyperparameter Selection for Latent Dirichlet Allocation