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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 1801–1825 of 2226 papers

TitleStatusHype
Bayesian Neural Controlled Differential Equations for Treatment Effect EstimationCode0
Uncertainty Prediction Neural Network (UpNet): Embedding Artificial Neural Network in Bayesian Inversion Framework to Quantify the Uncertainty of Remote Sensing RetrievalCode0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-DivergencesCode0
DPER: Dynamic Programming for Exist-Random Stochastic SATCode0
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian InferenceCode0
Spatiotemporal Clustering with Neyman-Scott Processes via Connections to Bayesian Nonparametric Mixture ModelsCode0
DPO: Dynamic-Programming Optimization on Hybrid ConstraintsCode0
The Polynomial Stein Discrepancy for Assessing Moment ConvergenceCode0
DropConnect Is Effective in Modeling Uncertainty of Bayesian Deep NetworksCode0
Simulation-based Bayesian Inference from Privacy Protected DataCode0
Dropout as a Structured Shrinkage PriorCode0
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for PaleoceanographyCode0
Dynamical Hyperspectral Unmixing with Variational Recurrent Neural NetworksCode0
MACAW: A Causal Generative Model for Medical ImagingCode0
A Molecular Prior Distribution for Bayesian Inference Based on Wilson StatisticsCode0
Push: Concurrent Probabilistic Programming for Bayesian Deep LearningCode0
PDE-constrained Gaussian process surrogate modeling with uncertain data locationsCode0
Bayesian Approaches to Shrinkage and Sparse EstimationCode0
MAGIC: Modular Auto-encoder for Generalisable Model Inversion with Bias CorrectionsCode0
Compositional uncertainty in deep Gaussian processesCode0
Bayesian adaptive and interpretable functional regression for exposure profilesCode0
Compositional simulation-based inference for time seriesCode0
Bayesian Importance of Features (BIF)Code0
Efficient Amortised Bayesian Inference for Hierarchical and Nonlinear Dynamical SystemsCode0
Efficient and Transferable Adversarial Examples from Bayesian Neural NetworksCode0
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Benchmark Results

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