Bayesian Inference

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

Papers

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 501–550 of 2226 papers

Title	Date	Tasks	Status	Score
Quantile Propagation for Wasserstein-Approximate Gaussian Processes	Dec 21, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Ramifications of Approximate Posterior Inference for Bayesian Deep Learning in Adversarial and Out-of-Distribution Settings	Sep 3, 2020	Bayesian InferenceOut-of-Distribution Detection	CodeCode Available	5
A Molecular Prior Distribution for Bayesian Inference Based on Wilson Statistics	Feb 18, 2022	Bayesian InferenceCryogenic Electron Microscopy (cryo-EM)	CodeCode Available	5
Dropout as a Structured Shrinkage Prior	Oct 9, 2018	Bayesian Inference	CodeCode Available	5
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with β-Divergences	Jun 6, 2018	Bayesian InferenceChange Point Detection	CodeCode Available	5
Recurrent switching linear dynamical systems	Oct 26, 2016	Bayesian InferenceTime Series	CodeCode Available	5
ReLU to the Rescue: Improve Your On-Policy Actor-Critic with Positive Advantages	Jun 2, 2023	Bayesian Inferencecontinuous-control	CodeCode Available	5
A Metalearned Neural Circuit for Nonparametric Bayesian Inference	Nov 24, 2023	Bayesian InferenceInductive Bias	CodeCode Available	5
DPER: Dynamic Programming for Exist-Random Stochastic SAT	May 19, 2022	Bayesian InferenceFairness	CodeCode Available	5
Reversible Jump Probabilistic Programming	Apr 16, 2019	Bayesian InferenceCode Generation	CodeCode Available	5
Automated Scalable Bayesian Inference via Hilbert Coresets	Oct 13, 2017	Bayesian Inference	CodeCode Available	5
A Metaheuristic for Amortized Search in High-Dimensional Parameter Spaces	Sep 28, 2023	Bayesian Inference	CodeCode Available	5
Data-driven Modeling and Inference for Bayesian Gaussian Process ODEs via Double Normalizing Flows	Sep 17, 2023	Bayesian InferenceGaussian Processes	CodeCode Available	5
DP-Fast MH: Private, Fast, and Accurate Metropolis-Hastings for Large-Scale Bayesian Inference	Mar 10, 2023	Bayesian InferenceDrug Design	CodeCode Available	5
Bayesian Inference Gaussian Process Multiproxy Alignment of Continuous Signals (BIGMACS): Applications for Paleoceanography	Jul 20, 2019	Bayesian InferenceGPR	CodeCode Available	5
ELBOing Stein: Variational Bayes with Stein Mixture Inference	Oct 30, 2024	Bayesian Inference	CodeCode Available	5
Distributed Markov Chain Monte Carlo Sampling based on the Alternating Direction Method of Multipliers	Jan 29, 2024	Bayesian InferenceDistributed Optimization	CodeCode Available	5
Distilling Importance Sampling for Likelihood Free Inference	Oct 8, 2019	Bayesian InferenceEpidemiology	CodeCode Available	5
Distilling Model Knowledge	Oct 8, 2015	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	5
DLBI: Deep learning guided Bayesian inference for structure reconstruction of super-resolution fluorescence microscopy	May 20, 2018	Bayesian InferenceDeep Learning	CodeCode Available	5
Discrepancies in Epidemiological Modeling of Aggregated Heterogeneous Data	Jun 20, 2021	Bayesian Inference	CodeCode Available	5
Bayesian filtering unifies adaptive and non-adaptive neural network optimization methods	Jul 19, 2018	Bayesian Inference	CodeCode Available	5
A Comprehensive guide to Bayesian Convolutional Neural Network with Variational Inference	Jan 8, 2019	Bayesian InferenceGeneral Classification	CodeCode Available	5
Discovering Inductive Bias with Gibbs Priors: A Diagnostic Tool for Approximate Bayesian Inference	Mar 7, 2022	Bayesian InferenceDiagnostic	CodeCode Available	5
Do Bayesian Variational Autoencoders Know What They Don't Know?	Dec 29, 2022	Bayesian InferenceOut of Distribution (OOD) Detection	CodeCode Available	5
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	CodeCode Available	5
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
Differentially Private Federated Variational Inference	Nov 24, 2019	Bayesian InferenceFederated Learning	CodeCode Available	5
Development of Use-specific High Performance Cyber-Nanomaterial Optical Detectors by Effective Choice of Machine Learning Algorithms	Dec 26, 2019	Bayesian Inference	CodeCode Available	5
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
Differentially Private Bayesian Inference for Exponential Families	Sep 6, 2018	Bayesian Inference	CodeCode Available	5
Attentional Prototype Inference for Few-Shot Segmentation	May 14, 2021	Bayesian InferenceFew-Shot Semantic Segmentation	CodeCode Available	5
A Bayesian Approach for Medical Inquiry and Disease Inference in Automated Differential Diagnosis	Oct 15, 2021	Bayesian InferenceExperimental Design	CodeCode Available	5
ALINE: Joint Amortization for Bayesian Inference and Active Data Acquisition	Jun 8, 2025	Active LearningBayesian Inference	CodeCode Available	5
Demonstrating the Continual Learning Capabilities and Practical Application of Discrete-Time Active Inference	Sep 30, 2024	Bayesian InferenceContinual Learning	CodeCode Available	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
Electricity Spot Prices Forecasting Using Stochastic Volatility Models	Jun 9, 2024	Bayesian InferenceTime Series	CodeCode Available	5
A Compact Representation for Bayesian Neural Networks By Removing Permutation Symmetry	Dec 31, 2023	Bayesian InferenceVariational Inference	CodeCode Available	5
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks	Dec 16, 2015	Bayesian InferenceDeep Learning	CodeCode Available	5
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	CodeCode Available	5
Asynchronous and Distributed Data Augmentation for Massive Data Settings	Sep 18, 2021	Bayesian InferenceData Augmentation	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Deep learning and MCMC with aggVAE for shifting administrative boundaries: mapping malaria prevalence in Kenya	May 31, 2023	Bayesian Inference	CodeCode Available	5
COVID-19 detection using chest X-rays: is lung segmentation important for generalization?	Apr 12, 2021	Bayesian InferenceGeneral Classification	CodeCode Available	5

Show:10 25 50

← PrevPage 11 of 45Next →

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	F-SWA	Accuracy	83.61	—	Unverified
2	F-SWAG	Accuracy	80.93	—	Unverified