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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 1801–1850 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
q-Paths: Generalizing the Geometric Annealing Path using Power MeansCode0
A Bayesian Perspective on the Deep Image PriorCode0
Uncertainty Propagation in the Fast Fourier TransformCode0
The Reciprocal Bayesian LASSOCode0
Quantifying tissue growth, shape and collision via continuum models and Bayesian inferenceCode0
Efficient Bayesian Inference of Sigmoidal Gaussian Cox ProcessesCode0
Adversarial α-divergence Minimization for Bayesian Approximate InferenceCode0
Quantile Propagation for Wasserstein-Approximate Gaussian ProcessesCode0
Masked Bayesian Neural Networks : Theoretical Guarantee and its Posterior InferenceCode0
Stein Point Markov Chain Monte CarloCode0
Efficient Hierarchical Bayesian Inference for Spatio-temporal Regression Models in NeuroimagingCode0
Efficient identification of informative features in simulation-based inferenceCode0
Variationally Inferred Sampling Through a Refined Bound for Probabilistic ProgramsCode0
matLeap: A fast adaptive Matlab-ready tau-leaping implementation suitable for Bayesian inferenceCode0
Spike Sorting using the Neural Clustering ProcessCode0
Variationally Inferred Sampling Through a Refined BoundCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
Efficient Neural Network Approaches for Conditional Optimal Transport with Applications in Bayesian InferenceCode0
Compositional Modeling of Nonlinear Dynamical Systems with ODE-based Random FeaturesCode0
A Metalearned Neural Circuit for Nonparametric Bayesian InferenceCode0
The Two Kinds of Free Energy and the Bayesian RevolutionCode0
Efficient Probabilistic Inference in the Quest for Physics Beyond the Standard ModelCode0
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution SettingsCode0
Random-effects substitution models for phylogenetics via scalable gradient approximationsCode0
Random Feature Stein DiscrepanciesCode0
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Benchmark Results

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