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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 2051–2100 of 2226 papers

TitleStatusHype
Parallelizing MCMC with Random Partition TreesCode0
Automatic Variational Inference in Stan—0
Provable Bayesian Inference via Particle Mirror Descent—0
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential FamiliesCode0
Bayesian Inference for Neighborhood Filters With Application in Denoising—0
Real-Time Part-Based Visual Tracking via Adaptive Correlation Filters—0
A Bounded p-norm Approximation of Max-Convolution for Sub-Quadratic Bayesian Inference on Additive Factors—0
Salient Structure Detection by Context-Guided Visual Search—0
On Markov chain Monte Carlo methods for tall dataCode0
Formalizing Preference Utilitarianism in Physical World Models—0
Network Plasticity as Bayesian InferenceCode0
A closed-form approach to Bayesian inference in tree-structured graphical models—0
Bidirectional Recurrent Neural Networks as Generative Models - Reconstructing Gaps in Time Series—0
A Parzen-based distance between probability measures as an alternative of summary statistics in Approximate Bayesian Computation—0
Sparse Bayesian Dictionary Learning with a Gaussian Hierarchical Model—0
Hamiltonian ABC—0
Scalable Variational Inference in Log-supermodular Models—0
Montblanc: GPU accelerated Radio Interferometer Measurement Equations in support of Bayesian Inference for Radio Observations—0
Fast Approximate Inference of Transcript Expression Levels from RNA-seq Data—0
Unbiased Bayes for Big Data: Paths of Partial Posteriors—0
Marginal likelihood and model selection for Gaussian latent tree and forest models—0
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned dataCode0
Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models—0
Bayesian Inference for Structured Spike and Slab Priors—0
A Bayesian model for identifying hierarchically organised states in neural population activity—0
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data—0
Scalable Inference for Neuronal Connectivity from Calcium Imaging—0
Nonparametric Bayesian inference on multivariate exponential families—0
Decoupled Variational Gaussian Inference—0
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
Big Learning with Bayesian Methods—0
Noise Benefits in Expectation-Maximization Algorithms—0
Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function—0
Multi-view Anomaly Detection via Probabilistic Latent Variable Models—0
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation—0
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model—0
Population Empirical BayesCode0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes—0
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap—0
Variational Reformulation of Bayesian Inverse ProblemsCode0
Variational Bayes for Merging Noisy Databases—0
Bayesian regression and BitcoinCode0
Synaptic plasticity as Bayesian inference—0
BayesPy: Variational Bayesian Inference in Python—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Order-invariant prior specification in Bayesian factor analysis—0
Recent Progress in Image Deblurring—0
A Concept Learning Approach to Multisensory Object Perception—0
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Benchmark Results

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