Emerging directions in Bayesian computation (Q6540230)

scientific article; zbMATH DE number 7849733

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English	Emerging directions in Bayesian computation	scientific article; zbMATH DE number 7849733

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scholarly article

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title

Emerging directions in Bayesian computation (English)

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15 May 2024

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zbMATH Keywords

coresets

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federated learning

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machine learning

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normalizing flows

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posterior computation

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variational Bayes

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Publication

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cites work

The Continuum-Armed Bandit Problem

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Concentration of tempered posteriors and of their variational approximations

0 references

Q5361314

0 references

Sampling from a log-concave distribution with projected Langevin Monte Carlo

0 references

Q4633024

0 references

Rao-Blackwellisation of sampling schemes

0 references

The sample size required in importance sampling

0 references

Consistency of variational Bayes inference for estimation and model selection in mixtures

0 references

Monte Carlo fusion

0 references

Q4264378

0 references

The Hastings algorithm at fifty

0 references

Private coresets

0 references

A unified framework for approximating and clustering data

0 references

Inference from iterative simulation using multiple sequences

0 references

Convergence rates of posterior distributions.

0 references

Nonparametric Bayesian model selection and averaging

0 references

Q4558202

0 references

Meta-Kriging: Scalable Bayesian Modeling and Inference for Massive Spatial Datasets

0 references

Distributed Bayesian inference in massive spatial data

0 references

An adaptive Metropolis algorithm

0 references

Asymptotic normality and valid inference for Gaussian variational approximation

0 references

A comprehensive survey and analysis of generative models in machine learning

0 references

Q2933843

0 references

The No-U-Turn Sampler: Adaptively Setting Path Lengths in Hamiltonian Monte Carlo

0 references

Online learning for the Dirichlet process mixture model via weakly conjugate approximation

0 references

An introduction to variational methods for graphical models

0 references

Communication-Efficient Distributed Statistical Inference

0 references

Extremal families and systems of sufficient statistics

0 references

Simple, scalable and accurate posterior interval estimation

0 references

Randomized Algorithms for Matrices and Data

0 references

The landscape of empirical risk for nonconvex losses

0 references

Distributed statistical estimation and rates of convergence in normal approximation

0 references

Q3172405

0 references

Stochastic Gradient Markov Chain Monte Carlo

0 references

Merging MCMC subposteriors through Gaussian-process approximations

0 references

Consensus Monte Carlo for Random Subsets Using Shared Anchors

0 references

Uncertainty quantification for sparse spectral variational approximations in Gaussian process regression

0 references

Q4998956

0 references

Q3405572

0 references

Near-optimal coresets of kernel density estimates

0 references

Optimal scaling and diffusion limits for the Langevin algorithm in high dimensions

0 references

Cuts in Bayesian graphical models

0 references

A framework for adaptive MCMC targeting multimodal distributions

0 references

Subsampling MCMC -- an introduction for the survey statistician

0 references

Speeding Up MCMC by Efficient Data Subsampling

0 references

Q3394879

0 references

Variational Bayes for High-Dimensional Linear Regression With Sparse Priors

0 references

Global Consensus Monte Carlo

0 references

Optimal Scaling of Discrete Approximations to Langevin Diffusions

0 references

Exponential convergence of Langevin distributions and their discrete approximations

0 references

Scalable Bayes under Informative Sampling

0 references

Efficient posterior sampling for high-dimensional imbalanced logistic regression

0 references

Nonparametric Bayesian Aggregation for Massive Data

0 references

Q4845383

0 references

An algorithm for distributed Bayesian inference

0 references

An asymptotic analysis of distributed nonparametric methods

0 references

Distributed function estimation: adaptation using minimal communication

0 references

Minimax rate of distribution estimation on unknown submanifolds under adversarial losses

0 references

Q4969052

0 references

Robust adaptive Metropolis algorithm with coerced acceptance rate

0 references

Split-and-Augmented Gibbs Sampler—Application to Large-Scale Inference Problems

0 references

Asymptotically Exact Data Augmentation: Models, Properties, and Algorithms

0 references

Q5054623

0 references

SwISS: a scalable Markov chain Monte Carlo divide-and-conquer strategy

0 references

Graphical Models, Exponential Families, and Variational Inference

0 references

Divide-and-conquer Bayesian inference in hidden Markov models

0 references

Optimal subsampling for quantile regression in big data

0 references

Information-Based Optimal Subdata Selection for Big Data Linear Regression

0 references

Optimal Subsampling for Large Sample Logistic Regression

0 references

Frequentist Consistency of Variational Bayes

0 references

Q3093272

0 references

Double-parallel Monte Carlo for Bayesian analysis of big data

0 references

\(\alpha\)-variational inference with statistical guarantees

0 references

Optimal Distributed Subsampling for Maximum Quasi-Likelihood Estimators With Massive Data

0 references

Convergence rates of variational posterior distributions

0 references

Q5214266

0 references

Asynchronous and Distributed Data Augmentation for Massive Data Settings

0 references

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Mathematics(1 entry)

mardi Publication:6540230