Pages that link to "Item:Q2880949"
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The following pages link to Distributed algorithms for topic models (Q2880949):
Displaying 20 items.
- Probabilistic topic models for sequence data (Q399896) (← links)
- Nonparametric Bayesian negative binomial factor analysis (Q1631595) (← links)
- A new method of moments for latent variable models (Q1631798) (← links)
- SIMD parallel MCMC sampling with applications for big-data Bayesian analytics (Q1663281) (← links)
- Comment: A brief survey of the current state of play for Bayesian computation in data science at big-data scale (Q1705540) (← links)
- Bayesian analysis of dynamic linear topic models (Q1757661) (← links)
- Robust initialization for learning latent Dirichlet allocation (Q2027245) (← links)
- Effective implementations of topic modeling algorithms (Q2064399) (← links)
- Accelerated parallel non-conjugate sampling for Bayesian non-parametric models (Q2152557) (← links)
- DOLDA: a regularized supervised topic model for high-dimensional multi-class regression (Q2184404) (← links)
- Asymptotic properties of parallel Bayesian kernel density estimators (Q2317881) (← links)
- Distributed Bayesian machine learning procedures (Q2320239) (← links)
- Sparse Partially Collapsed MCMC for Parallel Inference in Topic Models (Q3391126) (← links)
- Inference for the Number of Topics in the Latent Dirichlet Allocation Model via Bayesian Mixture Modeling (Q3391266) (← links)
- (Q4558486) (← links)
- 10.1162/jmlr.2003.3.4-5.993 (Q4656017) (← links)
- Parallel Markov chain Monte Carlo for Bayesian hierarchical models with big data, in two stages (Q5034158) (← links)
- d-blink: Distributed End-to-End Bayesian Entity Resolution (Q5066405) (← links)
- Scalable Hyperparameter Selection for Latent Dirichlet Allocation (Q5066757) (← links)
- Parallel Markov chain Monte Carlo for non-Gaussian posterior distributions (Q6538510) (← links)
