Bayesian Inference

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

Papers

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Showing 601–650 of 2226 papers

Title	Date	Tasks	Status	Score
Black-box Coreset Variational Inference	Nov 4, 2022	Bayesian InferenceData Summarization	CodeCode Available	5
Black-box density function estimation using recursive partitioning	Oct 26, 2020	Bayesian Inference	CodeCode Available	5
Bayesian regression and Bitcoin	Oct 6, 2014	Bayesian InferenceBinary Classification	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
Fidelity of Hyperbolic Space for Bayesian Phylogenetic Inference	Jun 16, 2022	Bayesian InferenceNavigate	CodeCode Available	5
Fine-Tuning Generative Models as an Inference Method for Robotic Tasks	Oct 19, 2023	Bayesian InferenceGPU	CodeCode Available	5
Differentially Private Bayesian Learning on Distributed Data	Mar 3, 2017	Bayesian Inference	CodeCode Available	5
Flexible statistical inference for mechanistic models of neural dynamics	Nov 6, 2017	Bayesian Inference	CodeCode Available	5
Bayesian reconstruction of memories stored in neural networks from their connectivity	May 16, 2021	Bayesian Inference	CodeCode Available	5
Dependent Multinomial Models Made Easy: Stick Breaking with the Pólya-Gamma Augmentation	Jun 18, 2015	Bayesian InferencePosition	CodeCode Available	5
Bayesian Pseudocoresets	Dec 1, 2020	Bayesian 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
Detecting structural perturbations from time series with deep learning	Jun 9, 2020	Bayesian InferenceDeep Learning	CodeCode Available	5
BRUNO: A Deep Recurrent Model for Exchangeable Data	Feb 21, 2018	Anomaly DetectionBayesian Inference	CodeCode Available	5
Differentially Private Distributed Bayesian Linear Regression with MCMC	Jan 31, 2023	Bayesian InferencePrivacy Preserving	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
Deep Bayesian Structure Networks	Sep 25, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Functional Regularisation for Continual Learning with Gaussian Processes	Jan 31, 2019	Bayesian InferenceContinual Learning	CodeCode Available	5
Deep Active Inference as Variational Policy Gradients	Jul 8, 2019	Bayesian Inferencereinforcement-learning	CodeCode Available	5
Bayesian Prediction of Future Street Scenes using Synthetic Likelihoods	Oct 1, 2018	Bayesian InferenceDiversity	CodeCode Available	5
Deep Bayesian inference for seismic imaging with tasks	Oct 10, 2021	Bayesian InferenceInductive Bias	CodeCode Available	5
Deep Learning and genetic algorithms for cosmological Bayesian inference speed-up	May 6, 2024	Bayesian InferenceHyperparameter Optimization	CodeCode Available	5
Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure	Nov 22, 2019	Bayesian InferenceNeural Architecture Search	CodeCode Available	5
Generalised Bayesian Inference for Discrete Intractable Likelihood	Jun 16, 2022	Bayesian Inference	CodeCode Available	5
Generalized Variational Inference: Three arguments for deriving new Posteriors	Apr 3, 2019	Bayesian InferenceGaussian Processes	CodeCode Available	5
Bayesian Floor Field: Transferring people flow predictions across environments	Aug 23, 2022	Bayesian Inference	CodeCode Available	5
Amortized Bayesian inference for clustering models	Nov 24, 2018	Bayesian InferenceClustering	CodeCode Available	5
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families	Jun 8, 2015	Bayesian Inference	CodeCode Available	5
Graph-based sequential beamforming	Aug 26, 2022	Bayesian Inference	CodeCode Available	5
Hamiltonian Monte Carlo Acceleration Using Surrogate Functions with Random Bases	Jun 18, 2015	Additive modelsBayesian Inference	CodeCode Available	5
Bayesian posterior approximation with stochastic ensembles	Dec 15, 2022	Bayesian Inferenceimage-classification	CodeCode Available	5
HINT: Hierarchical Invertible Neural Transport for Density Estimation and Bayesian Inference	May 25, 2019	Bayesian InferenceDensity Estimation	CodeCode Available	5
Improved Marginal Unbiased Score Expansion (MUSE) via Implicit Differentiation	Sep 21, 2022	Bayesian InferenceProbabilistic Programming	CodeCode Available	5
Improving Cooperation in Language Games with Bayesian Inference and the Cognitive Hierarchy	Dec 16, 2024	Bayesian Inference	CodeCode Available	5
Debiased Bayesian inference for average treatment effects	Sep 26, 2019	Bayesian InferenceCausal Inference	CodeCode Available	5
In-Context Learning through the Bayesian Prism	Jun 8, 2023	Bayesian InferenceIn-Context Learning	CodeCode Available	5
BAMBI: blind accelerated multimodal Bayesian inference	Oct 13, 2011	Bayesian Inference	CodeCode Available	5
Challenges in Markov chain Monte Carlo for Bayesian neural networks	Oct 15, 2019	Bayesian Inferencevalid	CodeCode Available	5
Data-driven Approach for Interpolation of Sparse Data	May 2, 2025	Bayesian InferenceGaussian Processes	CodeCode Available	5
Assumed Density Filtering Q-learning	Dec 9, 2017	Atari GamesBayesian Inference	CodeCode Available	5
Invariant polynomials and machine learning	Apr 26, 2021	Bayesian InferenceBIG-bench Machine Learning	CodeCode Available	5
Inverse decision-making using neural amortized Bayesian actors	Sep 4, 2024	AttributeBayesian Inference	CodeCode Available	5
Bandit Learning with Implicit Feedback	Dec 1, 2018	Bayesian InferenceThompson Sampling	CodeCode Available	5
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filter	May 29, 2018	Bayesian InferenceSequential Bayesian Inference	CodeCode Available	5
Kernel Stein Discrepancy thinning: a theoretical perspective of pathologies and a practical fix with regularization	Jan 31, 2023	Bayesian Inference	CodeCode Available	5
Data Subsampling for Bayesian Neural Networks	Oct 17, 2022	Bayesian InferenceFederated Learning	CodeCode Available	5
deBInfer: Bayesian inference for dynamical models of biological systems in R	Oct 15, 2016	Bayesian Inference	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
Latent Optimal Paths by Gumbel Propagation for Variational Bayesian Dynamic Programming	Jun 5, 2023	Bayesian InferenceSinging Voice Synthesis	CodeCode Available	5
CrossCat: A Fully Bayesian Nonparametric Method for Analyzing Heterogeneous, High Dimensional Data	Dec 3, 2015	Bayesian InferenceCommon Sense Reasoning	CodeCode Available	5

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Benchmark Results

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