Bayesian linear regression
PulseAugur coverage of Bayesian linear regression — every cluster mentioning Bayesian linear regression across labs, papers, and developer communities, ranked by signal.
3 day(s) with sentiment data
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New Empirical Bayes Method for Correlated Gaussian Sequence Models
Researchers have developed a new method for empirical Bayes estimation in correlated Gaussian sequence models. This approach utilizes a maximum Composite Marginal Likelihood (CML) estimator, which effectively handles de…
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New Monte Carlo algorithms reduce variance in stochastic gradient methods
Researchers have developed new variance reduction techniques for stochastic gradient generalized non-reversible Langevin Monte Carlo algorithms. These methods aim to improve the accuracy of estimators for generalized no…
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New AI inference methods tackle high-dimensional variance and posterior collapse
Researchers have introduced Entropic Transport Descent (ETD), a novel particle-based variational inference method that uses entropy-regularized optimal transport to improve approximations of intractable distributions. U…