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 1651–1675 of 2226 papers

TitleStatusHype
Functional Variational Bayesian Neural NetworksCode0
A Multi-armed Bandit MCMC, with applications in sampling from doubly intractable posterior—0
Goal-Directed Behavior under Variational Predictive Coding: Dynamic Organization of Visual Attention and Working Memory—0
Elements of Sequential Monte Carlo—0
Embarrassingly parallel MCMC using deep invertible transformations—0
Spiking Neural Network on Neuromorphic Hardware for Energy-Efficient Unidimensional SLAM—0
V2X System Architecture Utilizing Hybrid Gaussian Process-based Model Structures—0
Joint Perception and Control as Inference with an Object-based Implementation—0
Approximation Properties of Variational Bayes for Vector Autoregressions—0
Adaptive Gaussian Copula ABC—0
Bayesian Convolutional Neural Networks for Compressed Sensing RestorationCode0
Beyond Confidence Regions: Tight Bayesian Ambiguity Sets for Robust MDPsCode0
Gaussian Process Priors for Dynamic Paired Comparison ModellingCode0
Bayesian Online Prediction of Change PointsCode0
Manifold Optimization Assisted Gaussian Variational Approximation—0
Low-pass filtering as Bayesian inference—0
A stochastic version of Stein Variational Gradient Descent for efficient sampling—0
Scalable Nonparametric Sampling from Multimodal Posteriors with the Posterior BootstrapCode0
A Bayesian Approach for Accurate Classification-Based Aggregates—0
Stochastic Zeroth-order Discretizations of Langevin Diffusions for Bayesian Inference—0
Predictive Uncertainty Quantification with Compound Density Networks—0
Sequential Bayesian Detection of Spike Activities from Fluorescence Observations—0
Functional Regularisation for Continual Learning with Gaussian ProcessesCode0
Metric Gaussian Variational InferenceCode0
Stochastic Gradient MCMC for Nonlinear State Space ModelsCode0
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Benchmark Results

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