SOTAVerified

Bayesian Inference

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

Papers

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Showing 2001–2025 of 2226 papers

TitleStatusHype
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
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional DataCode0
Bayesian Matrix Completion via Adaptive Relaxed Spectral RegularizationCode0
Multi-Class Multi-Annotator Active Learning With Robust Gaussian Process for Visual Recognition—0
The Population Posterior and Bayesian Modeling on Streams—0
Bidirectional Recurrent Neural Networks as Generative Models—0
Max-Margin Majority Voting for Learning from Crowds—0
Dependent Multinomial Models Made Easy: Stick-Breaking with the Polya-gamma Augmentation—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
Bayesian Inference in Cumulative Distribution Fields—0
Toward Biochemical Probabilistic Computation—0
Biologically Inspired Dynamic Textures for Probing Motion Perception—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
Modeling sequences and temporal networks with dynamic community structures—0
Bayesian inference for spatio-temporal spike-and-slab priors—0
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Benchmark Results

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