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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 1951–2000 of 2226 papers

TitleStatusHype
Robust Energy Storage Scheduling for Imbalance Reduction of Strategically Formed Energy Balancing Groups—0
matLeap: A fast adaptive Matlab-ready tau-leaping implementation suitable for Bayesian inferenceCode0
Self-Averaging Expectation Propagation—0
Softplus Regressions and Convex Polytopes—0
Stein Variational Gradient Descent: A General Purpose Bayesian Inference AlgorithmCode1
Human collective intelligence as distributed Bayesian inference—0
Modelling the Interpretation of Discourse Connectives by Bayesian Pragmatics—0
Simultaneous Estimation of Noise Variance and Number of Peaks in Bayesian Spectral Deconvolution—0
Bayesian Inference of Bijective Non-Rigid Shape Correspondence—0
Developing and Testing a Bayesian Analysis of Fluorescence Lifetime Measurements—0
Pseudo-Marginal Hamiltonian Monte Carlo—0
Kernel Bayesian Inference with Posterior Regularization—0
Functional Distributional Semantics—0
Efficient Attack Graph Analysis through Approximate Inference—0
Bayesian Inference on Matrix Manifolds for Linear Dimensionality Reduction—0
A unified approach to mortality modelling using state-space framework: characterisation, identification, estimation and forecasting—0
Variational Bayesian Inference for Hidden Markov Models With Multivariate Gaussian Output Distributions—0
PAC-Bayesian Theory Meets Bayesian Inference—0
Merging MCMC Subposteriors through Gaussian-Process Approximations—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
A Tractable Fully Bayesian Method for the Stochastic Block Model—0
Variational Hamiltonian Monte Carlo via Score Matching—0
Bayesian inference of natural selection from allele frequency time series—0
Statistical Mechanics of High-Dimensional Inference—0
Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis—0
The high-conductance state enables neural sampling in networks of LIF neurons—0
A Relaxed Drift Diffusion Model for Phylogenetic Trait Evolution—0
Fast Parallel SVM using Data Augmentation—0
Probabilistic Model-Based Approach for Heart Beat Detection—0
On the Differential Privacy of Bayesian Inference—0
A Theoretically Grounded Application of Dropout in Recurrent Neural NetworksCode0
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Benchmark Results

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