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Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 1976–2000 of 2226 papers

TitleStatusHype
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions—0
Communication-Efficient Distributed Statistical Inference—0
Coresets for Scalable Bayesian Logistic RegressionCode0
ABC random forests for Bayesian parameter inference—0
An Efficient and Flexible Spike Train Model via Empirical Bayes—0
High-dimensional Bayesian inference via the Unadjusted Langevin Algorithm—0
Fast Rates for General Unbounded Loss Functions: from ERM to Generalized Bayes—0
Bayesian Inference of Recursive Sequences of Group Activities from Tracks—0
Variational Bayesian Inference of Line Spectra—0
A Formal Calculus for International Relations Computation and Evaluation—0
Bayesian inference in hierarchical models by combining independent posteriors—0
GPU Computing in Bayesian Inference of Realized Stochastic Volatility Model—0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models—0
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis—0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning—0
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling—0
Bayesian Learning of Kernel Embeddings—0
Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks—0
Patterns of Scalable Bayesian Inference—0
A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation—0
Variational Inference for Sparse and Undirected Models—0
Variational Hamiltonian Monte Carlo via Score Matching—0
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
Bayesian inference of natural selection from allele frequency time series—0
Statistical Mechanics of High-Dimensional Inference—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1F-SWAAccuracy83.61—Unverified
2F-SWAGAccuracy80.93—Unverified