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Bayesian Inference

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

Papers

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Showing 1551–1575 of 2226 papers

TitleStatusHype
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Amortized Monte Carlo IntegrationCode1
SubTSBR to tackle high noise and outliers for data-driven discovery of differential equations—0
Subspace Inference for Bayesian Deep LearningCode0
Stochastic gradient Markov chain Monte CarloCode0
A General Framework for Uncertainty Estimation in Deep LearningCode0
Concentration of the matrix-valued minimum mean-square error in optimal Bayesian inference—0
Bayesian Synthesis of Probabilistic Programs for Automatic Data Modeling—0
Bayesian deep learning with hierarchical prior: Predictions from limited and noisy data—0
Thompson Sampling on Symmetric α-Stable Bandits—0
Etalumis: Bringing Probabilistic Programming to Scientific Simulators at ScaleCode0
Variational Inference MPC for Bayesian Model-based Reinforcement Learning—0
Deep Active Inference as Variational Policy GradientsCode0
Learning in Volatile Environments with the Bayes Factor Surprise—0
Probabilistic CCA with Implicit Distributions—0
Adaptive particle-based approximations of the Gibbs posterior for inverse problems—0
Bandit Learning for Diversified Interactive Recommendation—0
Teaching deep neural networks to localize single molecules for super-resolution microscopyCode0
Parameter Estimation and Uncertainty Quantification for Systems Biology Models—0
Bayesian Inference of Spacecraft Pose using Particle Filtering—0
Probabilistic model predictive safety certification for learning-based control—0
Learning Waveform-Based Acoustic Models using Deep Variational Convolutional Neural NetworksCode0
Confidence Calibration for Convolutional Neural Networks Using Structured Dropout—0
Reweighted Expectation MaximizationCode0
Learning Curves for Deep Neural Networks: A Gaussian Field Theory Perspective—0
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Benchmark Results

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