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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 2101–2150 of 2226 papers

TitleStatusHype
Model-based Kernel Sum Rule: Kernel Bayesian Inference with Probabilistic Models—0
Probabilistic inverse reinforcement learning in unknown environments—0
Likelihood-free inference via classification—0
Relevance Singular Vector Machine for low-rank matrix sensing—0
Reliable ABC model choice via random forests—0
Evaluation of Machine Learning Techniques for Green Energy Prediction—0
Causal Inference through a Witness Protection Program—0
Gaussian Processes for Natural Language Processing—0
Non-Parametric Bayesian Constrained Local Models—0
Bayesian inference as a cross-linguistic word segmentation strategy: Always learning useful things—0
Approximate Decentralized Bayesian Inference—0
Accelerating MCMC via Parallel Predictive Prefetching—0
Firefly Monte Carlo: Exact MCMC with Subsets of Data—0
Particle methods enable fast and simple approximation of Sobolev gradients in image segmentation—0
Marginalizing Corrupted Features—0
Scaling Nonparametric Bayesian Inference via Subsample-Annealing—0
Building fast Bayesian computing machines out of intentionally stochastic, digital parts—0
Bayesian Inference for NMR Spectroscopy with Applications to Chemical Quantification—0
The Informed Sampler: A Discriminative Approach to Bayesian Inference in Generative Computer Vision ModelsCode0
Bayesian CP Factorization of Incomplete Tensors with Automatic Rank DeterminationCode0
Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsCode0
Bayesian Conditional Density FilteringCode0
Solving #SAT and Bayesian Inference with Backtracking Search—0
Multiscale Shrinkage and Lévy Processes—0
Online Bayesian Passive-Aggressive Learning—0
Sequential Monte Carlo Inference of Mixed Membership Stochastic Blockmodels for Dynamic Social Networks—0
Bayesian inference for low rank spatiotemporal neural receptive fields—0
Bayesian Inference and Online Experimental Design for Mapping Neural Microcircuits—0
Factorized Asymptotic Bayesian Inference for Latent Feature Models—0
Low-rank matrix reconstruction and clustering via approximate message passing—0
Locally Adaptive Bayesian Multivariate Time Series—0
Non-Uniform Camera Shake Removal Using a Spatially-Adaptive Sparse Penalty—0
Reciprocally Coupled Local Estimators Implement Bayesian Information Integration Distributively—0
Bayesian Inference for Gaussian Process Classifiers with Annealing and Pseudo-Marginal MCMC—0
Stochastic inference with deterministic spiking neurons—0
Exploration in Interactive Personalized Music Recommendation: A Reinforcement Learning Approach—0
Bayesian inference as iterated random functions with applications to sequential inference in graphical models—0
Variational Bayesian inference for linear and logistic regressionCode0
Improved Bayesian Logistic Supervised Topic Models with Data Augmentation—0
Discriminative Relational Topic Models—0
Pseudo-Marginal Bayesian Inference for Gaussian Processes—0
Unsupervised Spectral Learning of WCFG as Low-rank Matrix Completion—0
Bayesian Inference in Sparse Gaussian Graphical Models—0
Constrained Bayesian Inference for Low Rank Multitask Learning—0
Analysing Quality of English-Hindi Machine Translation Engine Outputs Using Bayesian Classification—0
Sigma Point Belief Propagation—0
Unsupervised structured semantic inference for spoken dialog reservation tasks—0
Nonparametric Bayesian Inference and Efficient Parsing for Tree-adjoining Grammars—0
Scalable Decipherment for Machine Translation via Hash Sampling—0
Decipherment Complexity in 1:1 Substitution Ciphers—0
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Benchmark Results

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