SOTAVerified

Bayesian Inference

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

Papers

Showing 19762000 of 2226 papers

TitleStatusHype
Bayesian Inference of Recursive Sequences of Group Activities from Tracks0
Variational Bayesian Inference of Line Spectra0
A Formal Calculus for International Relations Computation and Evaluation0
Bayesian inference in hierarchical models by combining independent posteriors0
GPU Computing in Bayesian Inference of Realized Stochastic Volatility Model0
Exact Bayesian inference for off-line change-point detection in tree-structured graphical models0
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis0
Accelerating a hybrid continuum-atomistic fluidic model with on-the-fly machine learning0
Online but Accurate Inference for Latent Variable Models with Local Gibbs Sampling0
Bayesian Learning of Kernel Embeddings0
Modeling cumulative biological phenomena with Suppes-Bayes Causal Networks0
Patterns of Scalable Bayesian Inference0
A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation0
Variational Inference for Sparse and Undirected Models0
A Tractable Fully Bayesian Method for the Stochastic Block Model0
Variational Hamiltonian Monte Carlo via Score Matching0
Bayesian inference of natural selection from allele frequency time series0
Statistical Mechanics of High-Dimensional Inference0
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis0
The high-conductance state enables neural sampling in networks of LIF neurons0
A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution0
Fast Parallel SVM using Data Augmentation0
Probabilistic Model-Based Approach for Heart Beat Detection0
On the Differential Privacy of Bayesian Inference0
A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksCode0
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Benchmark Results

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