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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 1151–1200 of 2226 papers

TitleStatusHype
D3p -- A Python Package for Differentially-Private Probabilistic ProgrammingCode1
Adaptive Degradation Process with Deep Learning-Driven Trajectory—0
Uncertainty Estimation in SARS-CoV-2 B-cell Epitope Prediction for Vaccine Development—0
Sparse Algorithms for Markovian Gaussian ProcessesCode0
A Probabilistic State Space Model for Joint Inference from Differential Equations and DataCode1
Bayesian Imaging With Data-Driven Priors Encoded by Neural Networks: Theory, Methods, and Algorithms—0
A New Parameterized Family of Stochastic Particle Flow Filters—0
Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks—0
A hierarchical Bayesian model to find brain-behaviour associations in incomplete data setsCode0
Bayesian imaging using Plug & Play priors: when Langevin meets Tweedie—0
Approximate Bayesian inference and forecasting in huge-dimensional multi-country VARs—0
Modeling tail risks of inflation using unobserved component quantile regressionsCode1
Nishimori meets Bethe: a spectral method for node classification in sparse weighted graphsCode0
Gaussian processes meet NeuralODEs: A Bayesian framework for learning the dynamics of partially observed systems from scarce and noisy dataCode1
A Hamiltonian Monte Carlo Model for Imputation and Augmentation of Healthcare DataCode0
Parsimonious Inference—0
A practical tutorial on Variational BayesCode1
Multifidelity Ensemble Kalman Filtering Using Surrogate Models Defined by Physics-Informed Autoencoders—0
Stein Variational Gradient Descent: many-particle and long-time asymptotics—0
Sparse online variational Bayesian regressionCode0
Neural Sampling Machine with Stochastic Synapse allows Brain-like Learning and Inference—0
Trumpets: Injective Flows for Inference and Inverse ProblemsCode1
Estimating the impact of non-pharmaceutical interventions and vaccination on the progress of the COVID-19 epidemic in Mexico: a mathematical approach—0
The Variational Bayesian Inference for Network Autoregression Models—0
Structured Dropout Variational Inference for Bayesian Neural Networks—0
Neural Posterior Regularization for Likelihood-Free InferenceCode0
ScrofaZero: Mastering Trick-taking Poker Game Gongzhu by Deep Reinforcement LearningCode0
Scalable Bayesian Inverse Reinforcement LearningCode1
Projected Wasserstein gradient descent for high-dimensional Bayesian inferenceCode0
Bayesian Inference with Certifiable Adversarial RobustnessCode0
Variational Inference for Deblending Crowded StarfieldsCode1
Bayesian multiscale deep generative model for the solution of high-dimensional inverse problemsCode0
A Bayesian approach for extracting free energy profiles from cryo-electron microscopy experiments using a path collective variableCode1
Bayesian data-driven discovery of partial differential equations with variable coefficients—0
Bayesian Neural Networks for Virtual Flow Metering: An Empirical StudyCode0
Modeling German Word Order Acquisition via Bayesian Inference—0
Human Inference in Changing Environments With Temporal Structure—0
Fundamental limits and algorithms for sparse linear regression with sublinear sparsity—0
Bayesian hierarchical stacking: Some models are (somewhere) usefulCode1
Bayesian Inference ForgettingCode0
On the relationship between a Gamma distributed precision parameter and the associated standard deviation in the context of Bayesian parameter inferenceCode0
Probabilistic Inference for Learning from Untrusted Sources—0
Full-Information Estimation of Heterogeneous Agent Models Using Macro and Micro DataCode1
Towards fast machine-learning-assisted Bayesian posterior inference of microseismic event location and source mechanismCode1
Scaling Up Bayesian Uncertainty Quantification for Inverse Problems using Deep Neural Networks—0
Maximum a Posteriori Inference of Random Dot Product Graphs via Conic Programming—0
Control-Data Separation and Logical Condition Propagation for Efficient Inference on Probabilistic Programs—0
Learning optimal Bayesian prior probabilities from data—0
Bayesian Context Aggregation for Neural Processes—0
Bayesian Neural Networks with Variance Propagation for Uncertainty Evaluation—0
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Benchmark Results

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