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Tag: topic/variational-inference
12 items with this tag.
Sep 23, 2026
Q: In-context learning has been read as amortized (implicit) Bayesian inference. How does that reading compare with neural posterior estimation, variational autoencoders' amortized encoders, deep adaptive design and hierarchical models — and where does the analogy break?
type/qa
topic/large-language-models
topic/likelihood-free-inference
topic/variational-inference
topic/bayesian-statistics
topic/calibration
Sep 23, 2026
Variational Inference - Index
type/index
source/ingested
topic/bayesian-statistics
topic/variational-inference
Sep 18, 2026
Q: How do the ELBO, the Barber–Agakov posterior bound and the marginal / VNMC bounds on expected information gain, the contrastive PCE and ACE bounds, neural ratio estimation and the forward-KL objective of neural posterior estimation relate? Which direction of KL does each use, is each an upper or lower bound, and what failure does that choice cause?
type/qa
topic/variational-inference
topic/bayesian-experimental-design
topic/likelihood-free-inference
topic/bayesian-statistics
Sep 18, 2026
Diagnosing Variational Inference (PSIS k-hat and VSBC)
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/bayesian-workflow
topic/model-checking
type/method
method/stan
doc/paper
Sep 18, 2026
Mean-Field Family and Coordinate Ascent VI (CAVI)
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/mixture-models
type/method
doc/paper
Sep 18, 2026
Normalizing Flows for Variational Inference
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/machine-learning
topic/normalizing-flows
type/method
doc/paper
Sep 18, 2026
Reparameterization Trick and Variational Autoencoders
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/machine-learning
topic/deep-generative-models
type/method
doc/paper
Sep 18, 2026
The ELBO and KL Divergence Minimization
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/information-theory
type/concept
doc/paper
Sep 18, 2026
Variational Inference - Overview
source/ingested
topic/bayesian-statistics
topic/variational-inference
type/overview
doc/paper
Sep 18, 2026
Approximation Methods
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/laplace-approximation
topic/expectation-propagation
type/concept
doc/textbook
Sep 18, 2026
Automatic Differentiation Variational Inference (ADVI)
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/probabilistic-programming
type/method
method/stan
method/pymc
doc/paper
Sep 18, 2026
Stochastic and Black-Box Variational Inference
source/ingested
topic/bayesian-statistics
topic/variational-inference
topic/stochastic-optimization
type/method
doc/paper