Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 2026–2050 of 2226 papers

Title	Date	Tasks	Status	Hype
Learning without Recall by Random Walks on Directed Graphs	Sep 14, 2015	Bayesian Inference	—Unverified	0
Bayesian Masking: Sparse Bayesian Estimation with Weaker Shrinkage Bias	Sep 3, 2015	Bayesian Inferencefeature selection	—Unverified	0
Varying-coefficient models with isotropic Gaussian process priors	Aug 28, 2015	Bayesian Inference	—Unverified	0
Zero-Truncated Poisson Tensor Factorization for Massive Binary Tensors	Aug 18, 2015	Bayesian Inference	—Unverified	0
Towards Machine Wald	Aug 10, 2015	Bayesian InferenceStochastic Optimization	—Unverified	0
Orthogonal parallel MCMC methods for sampling and optimization	Jul 30, 2015	Bayesian Inference	—Unverified	0
String and Membrane Gaussian Processes	Jul 24, 2015	Bayesian InferenceGaussian Processes	—Unverified	0
The Population Posterior and Bayesian Inference on Streams	Jul 19, 2015	Bayesian Inference	CodeCode Available	1
Scalable Bayesian Inference for Excitatory Point Process Networks	Jul 12, 2015	Bayesian InferenceVariational Inference	CodeCode Available	0
Remarks on kernel Bayes' rule	Jul 4, 2015	Bayesian Inference	—Unverified	0
Unifying Bayesian Inference and Vector Space Models for Improved Decipherment	Jul 1, 2015	Bayesian InferenceDecipherment	—Unverified	0
Fast and accurate approximate inference of transcript expression from RNA-seq data	Jun 30, 2015	Bayesian Inference	CodeCode Available	0
Scalable Discrete Sampling as a Multi-Armed Bandit Problem	Jun 30, 2015	Bayesian InferenceMulti-Armed Bandits	—Unverified	0
Factorized Asymptotic Bayesian Inference for Factorial Hidden Markov Models	Jun 26, 2015	Bayesian InferenceModel Selection	—Unverified	0
Sampling constrained probability distributions using Spherical Augmentation	Jun 19, 2015	Bayesian Inferenceregression	—Unverified	0
Approximate Inference with the Variational Holder Bound	Jun 19, 2015	Bayesian InferenceNumerical Integration	—Unverified	0
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	0
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases	Jun 18, 2015	Additive modelsBayesian Inference	CodeCode Available	0
Learning Deep Generative Models with Doubly Stochastic MCMC	Jun 15, 2015	Bayesian InferenceDensity Estimation	—Unverified	0
Automatic Variational Inference in Stan	Jun 10, 2015	Bayesian InferenceProbabilistic Programming	—Unverified	0
Parallelizing MCMC with Random Partition Trees	Jun 10, 2015	Bayesian Inference	CodeCode Available	0
Provable Bayesian Inference via Particle Mirror Descent	Jun 9, 2015	Bayesian InferenceGaussian Processes	—Unverified	0
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families	Jun 8, 2015	Bayesian Inference	CodeCode Available	0
Variational Dropout and the Local Reparameterization Trick	Jun 8, 2015	Bayesian Inference	CodeCode Available	1
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning	Jun 6, 2015	Bayesian InferenceDeep Reinforcement Learning	CodeCode Available	1

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Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified