The following pages link to (Q5406026):
Displaying 36 items.
- Stochastic variational inference for large-scale discrete choice models using adaptive batch sizes (Q517404) (← links)
- Fast Bayesian estimation of spatial count data models (Q830478) (← links)
- Mean-field variational approximate Bayesian inference for latent variable models (Q1020881) (← links)
- Variational inferences for partially linear additive models with variable selection (Q1623714) (← links)
- A general method for robust Bayesian modeling (Q1631602) (← links)
- Collaborative topic model for Poisson distributed ratings (Q1642762) (← links)
- Comment: Consensus Monte Carlo using expectation propagation (Q1705541) (← links)
- A novel variational Bayesian method for variable selection in logistic regression models (Q1727887) (← links)
- Variational inference for probabilistic Poisson PCA (Q1728678) (← links)
- Posteriors, conjugacy, and exponential families for completely random measures (Q1750082) (← links)
- Variational inference at glacier scale (Q2137912) (← links)
- Monte Carlo co-ordinate ascent variational inference (Q2195834) (← links)
- Conditionally structured variational Gaussian approximation with importance weights (Q2209703) (← links)
- Conditionally conjugate mean-field variational Bayes for logistic models (Q2292397) (← links)
- Variational inference for multiplicative intensity models (Q2307400) (← links)
- Cooperative hierarchical Dirichlet processes: superposition vs. maximization (Q2321287) (← links)
- Exponential family mixed membership models for soft clustering of multivariate data (Q2418280) (← links)
- Fast and universal estimation of latent variable models using extended variational approximations (Q2677903) (← links)
- Variational inference for latent variables and uncertain inputs in Gaussian processes (Q2810833) (← links)
- (Q2933843) (← links)
- Correlated Random Measures (Q4690969) (← links)
- Gibbs sampler and coordinate ascent variational inference: A set-theoretical review (Q5079881) (← links)
- Optimizing Variational Representations of Divergences and Accelerating Their Statistical Estimation (Q5088576) (← links)
- Bayesian computation for Log-Gaussian Cox processes: a comparative analysis of methods (Q5106925) (← links)
- Technical Note—Consistency Analysis of Sequential Learning Under Approximate Bayesian Inference (Q5130497) (← links)
- A Geometric Variational Approach to Bayesian Inference (Q5130625) (← links)
- (Q5149224) (← links)
- Variational Bayesian Learning Theory (Q5741951) (← links)
- Stochastic variational inference for scalable non-stationary Gaussian process regression (Q6171777) (← links)
- Amortized Variational Inference: A Systematic Review (Q6411576) (← links)
- Image segmentation using Bayesian inference for convex variant Mumford-Shah variational model (Q6541913) (← links)
- Improvements on scalable stochastic Bayesian inference methods for multivariate Hawkes process (Q6547746) (← links)
- Tractable skew-normal approximations via matching (Q6564316) (← links)
- Discussion of: ``Specifying prior distributions in reliability applications'': towards new formal rules for informative prior elicitation? (Q6581566) (← links)
- A Bayesian approach to modeling topic-metadata relationships (Q6589379) (← links)
- High-dimensional overdispersed generalized factor model with application to single-cell sequencing data analysis (Q6663835) (← links)
