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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 1551–1600 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
Specifying Weight Priors in Bayesian Deep Neural Networks with Empirical BayesCode0
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent VariablesCode0
Bayesian Automatic Relevance Determination for Utility Function Specification in Discrete Choice Models—0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Fast and Simple Natural-Gradient Variational Inference with Mixture of Exponential-family ApproximationsCode0
Hierarchical Bayesian myocardial perfusion quantification—0
Variational Inference for Graph Convolutional Networks in the Absence of Graph Data and Adversarial SettingsCode0
Bayesian Inference Semantics: A Modelling System and A Test SuiteCode0
Sparse Bayesian Learning Approach for Discrete Signal Reconstruction—0
Generalizing Eye Tracking With Bayesian Adversarial Learning—0
Bayesian Hierarchical Dynamic Model for Human Action RecognitionCode0
Greedy inference with structure-exploiting lazy mapsCode0
Cross-modal Variational Auto-encoder with Distributed Latent Spaces and Associators—0
Learning to Balance: Bayesian Meta-Learning for Imbalanced and Out-of-distribution TasksCode0
Fast and Robust Rank Aggregation against Model MisspecificationCode0
Switching Linear Dynamics for Variational Bayes Filtering—0
Data Augementation with Polya Inverse Gamma—0
Accelerating Monte Carlo Bayesian Inference via Approximating Predictive Uncertainty over SimplexCode0
Unified Probabilistic Deep Continual Learning through Generative Replay and Open Set RecognitionCode0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Walsh-Hadamard Variational Inference for Bayesian Deep Learning—0
Causal Discovery and Forecasting in Nonstationary Environments with State-Space Models—0
Variational Bayes: A report on approaches and applications—0
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian InferenceCode0
Decentralized Bayesian Learning over Graphs—0
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Benchmark Results

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