SOTAVerified

Bayesian Inference

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

Papers

Showing 19011950 of 2226 papers

TitleStatusHype
Analytical Approximation of the ELBO Gradient in the Context of the Clutter ProblemCode0
Bayesian Joint Spike-and-Slab Graphical LassoCode0
T-LoHo: A Bayesian Regularization Model for Structured Sparsity and Smoothness on GraphsCode0
Expectation propagation as a way of life: A framework for Bayesian inference on partitioned dataCode0
ALINE: Joint Amortization for Bayesian Inference and Active Data AcquisitionCode0
Understanding Non-linearity in Graph Neural Networks from the Bayesian-Inference PerspectiveCode0
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
Variational Bayes on ManifoldsCode0
Model-based Validation as Probabilistic InferenceCode0
Model Evidence with Fast Tree Based QuadratureCode0
Analysis of Markov Jump Processes under Terminal ConstraintsCode0
Exploring helical dynamos with machine learningCode0
Exploring Variational Deep Q NetworksCode0
Are Normalizing Flows the Key to Unlocking the Exponential Mechanism?Code0
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data setsCode0
BRUNO: A Deep Recurrent Model for Exchangeable DataCode0
Understanding Variational Inference in Function-SpaceCode0
Stein Variational Gradient Descent With Matrix-Valued KernelsCode0
Batch Bayesian optimisation via density-ratio estimation with guaranteesCode0
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive AdvantagesCode0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
Fast, accurate and lightweight sequential simulation-based inference using Gaussian locally linear mappingsCode0
Fast and accurate approximate inference of transcript expression from RNA-seq dataCode0
Blang: Bayesian declarative modelling of general data structures and inference via algorithms based on distribution continuaCode0
Stein Variational Newton Neural Network EnsemblesCode0
BAST: Bayesian Additive Regression Spanning Trees for Complex Constrained DomainCode0
Black-box density function estimation using recursive partitioningCode0
Fast and Robust Rank Aggregation against Model MisspecificationCode0
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsCode0
Bayesian Inference with Certifiable Adversarial RobustnessCode0
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionCode0
Reparameterization Gradients through Acceptance-Rejection Sampling AlgorithmsCode0
Black-box Coreset Variational InferenceCode0
Stochastic Approximation with Biased MCMC for Expectation MaximizationCode0
Stochastic Backpropagation and Approximate Inference in Deep Generative ModelsCode0
Model Reduction of Linear Dynamical Systems via Balancing for Bayesian InferenceCode0
Model selection and parameter inference in phylogenetics using Nested SamplingCode0
Faster MCMC for Gaussian Latent Position Network ModelsCode0
Variational Model Perturbation for Source-Free Domain AdaptationCode0
A Hierarchical Bayesian Model for Deep Few-Shot Meta LearningCode0
Fast Bayesian Inference for Neutrino Non-Standard Interactions at Dark Matter Direct Detection ExperimentsCode0
Monitoring machine learning (ML)-based risk prediction algorithms in the presence of confounding medical interventionsCode0
Bandit Learning with Implicit FeedbackCode0
Bayesian Inference with Anchored Ensembles of Neural Networks, and Application to Exploration in Reinforcement LearningCode0
Fast post-process Bayesian inference with Variational Sparse Bayesian QuadratureCode0
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Moreau-Yoshida Variational Transport: A General Framework For Solving Regularized Distributional Optimization ProblemsCode0
MPC-guided Imitation Learning of Neural Network Policies for the Artificial PancreasCode0
Fast yet Simple Natural-Gradient Descent for Variational Inference in Complex ModelsCode0
Reversible Jump Probabilistic ProgrammingCode0
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Benchmark Results

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