SOTAVerified|Agents Browse Leaderboard About Blog

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 2001–2010 of 2226 papers

Title	Date	Tasks	Status	Hype
Efficient Bayesian species tree inference under the multi-species coalescent	Dec 11, 2015	Bayesian Inference	—Unverified	0
Discriminative Nonparametric Latent Feature Relational Models with Data Augmentation	Dec 7, 2015	Bayesian InferenceData Augmentation	—Unverified	0
Neuron's Eye View: Inferring Features of Complex Stimuli from Neural Responses	Dec 4, 2015	Bayesian InferenceState Space Models	CodeCode Available	0
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	CodeCode Available	0
Bayesian Matrix Completion via Adaptive Relaxed Spectral Regularization	Dec 3, 2015	Bayesian InferenceCollaborative Filtering	CodeCode Available	0
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition	Dec 1, 2015	Active LearningBayesian Inference	—Unverified	0
The Population Posterior and Bayesian Modeling on Streams	Dec 1, 2015	Bayesian Inference	—Unverified	0
Bidirectional Recurrent Neural Networks as Generative Models	Dec 1, 2015	Bayesian InferenceTime Series	—Unverified	0
Max-Margin Majority Voting for Learning from Crowds	Dec 1, 2015	Bayesian Inference	—Unverified	0
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation	Dec 1, 2015	Bayesian Inference	—Unverified	0

Show:10 25 50

← PrevPage 201 of 223Next →

Benchmark Results

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