SOTAVerified

Bayesian Inference

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

Papers

Showing 16011625 of 2226 papers

TitleStatusHype
Efficient MCMC Sampling with Dimension-Free Convergence Rate using ADMM-type Splitting0
Accelerating Langevin Sampling with Birth-death0
Multi-Class Gaussian Process Classification Made Conjugate: Efficient Inference via Data AugmentationCode0
Estimating Risk and Uncertainty in Deep Reinforcement LearningCode0
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-RiskCode0
Exploring helical dynamos with machine learningCode0
Automatic Posterior Transformation for Likelihood-Free InferenceCode1
LR-GLM: High-Dimensional Bayesian Inference Using Low-Rank Data Approximations0
Reconstruction-Aware Imaging System Ranking by use of a Sparsity-Driven Numerical Observer Enabled by Variational Bayesian Inference0
Variational approximations using Fisher divergence0
Spectral Reconstruction with Deep Neural Networks0
Stein Point Markov Chain Monte CarloCode0
A Latent Variational Framework for Stochastic Optimization0
Parallel Gaussian process surrogate Bayesian inference with noisy likelihood evaluationsCode0
Variational Domain Adaptation0
Neuromorphic Acceleration for Approximate Bayesian Inference on Neural Networks via Permanent Dropout0
A Bayesian Monte Carlo approach for predicting the spread of infectious diseasesCode0
Reversible Jump Probabilistic ProgrammingCode0
A Bayesian Perspective on the Deep Image PriorCode0
Few-Shot Bayesian Imitation Learning with Logical Program Policies0
Compressed sensing reconstruction using Expectation Propagation0
A Generalization Bound for Online Variational Inference0
Bayesian Neural Networks at Finite TemperatureCode0
The Kikuchi Hierarchy and Tensor PCA0
Generalized Variational Inference: Three arguments for deriving new PosteriorsCode0
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Benchmark Results

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