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Bayesian Inference

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

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 2001–2050 of 2226 papers

TitleStatusHype
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
Efficient Bayesian species tree inference under the multi-species coalescent—0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation—0
Neuron's Eye View: Inferring Features of Complex Stimuli from Neural ResponsesCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional DataCode0
The Population Posterior and Bayesian Modeling on Streams—0
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation—0
Bidirectional Recurrent Neural Networks as Generative Models—0
Max-Margin Majority Voting for Learning from Crowds—0
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition—0
Bayesian inference via rejection filtering—0
BIRDNEST: Bayesian Inference for Ratings-Fraud Detection—0
Accelerating pseudo-marginal Metropolis-Hastings by correlating auxiliary variables—0
Biologically Inspired Dynamic Textures for Probing Motion Perception—0
Bayesian Inference in Cumulative Distribution Fields—0
Toward Biochemical Probabilistic Computation—0
Time-Sensitive Bayesian Information Aggregation for Crowdsourcing Systems—0
Bayesian Inference of Online Social Network Statistics via Lightweight Random Walk Crawls—0
Distilling Model KnowledgeCode0
Bayesian Inference via Approximation of Log-likelihood for Priors in Exponential Family—0
Tractable Fully Bayesian Inference via Convex Optimization and Optimal Transport Theory—0
Unbiased Bayesian Inference for Population Markov Jump Processes via Random TruncationsCode0
A Simulated Annealing Approach to Bayesian Inference—0
Bayesian inference for spatio-temporal spike-and-slab priors—0
Modeling sequences and temporal networks with dynamic community structures—0
Learning without Recall by Random Walks on Directed Graphs—0
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias—0
Varying-coefficient models with isotropic Gaussian process priors—0
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors—0
Towards Machine Wald—0
Orthogonal parallel MCMC methods for sampling and optimization—0
String and Membrane Gaussian Processes—0
Scalable Bayesian Inference for Excitatory Point Process NetworksCode0
Remarks on kernel Bayes' rule—0
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment—0
Fast and accurate approximate inference of transcript expression from RNA-seq dataCode0
Scalable Discrete Sampling as a Multi-Armed Bandit Problem—0
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models—0
Approximate Inference with the Variational Holder Bound—0
Sampling constrained probability distributions using Spherical Augmentation—0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma AugmentationCode0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random BasesCode0
Learning Deep Generative Models with Doubly Stochastic MCMC—0
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Benchmark Results

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