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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 851–900 of 2226 papers

TitleStatusHype
Flexible and Hierarchical Prior for Bayesian Nonnegative Matrix Factorization—0
Quasi Black-Box Variational Inference with Natural Gradients for Bayesian Learning—0
Parameters identification for an inverse problem arising from a binary option using a Bayesian inference approach—0
RL with KL penalties is better viewed as Bayesian inference—0
DPER: Dynamic Programming for Exist-Random Stochastic SATCode0
Variational Inference for Bayesian Bridge Regression—0
Nonblind image deconvolution via leveraging model uncertainty in an untrained deep neural networkCode0
Marginal and Joint Cross-Entropies & Predictives for Online Bayesian Inference, Active Learning, and Active Sampling—0
DPO: Dynamic-Programming Optimization on Hybrid ConstraintsCode0
Intuitive and Efficient Human-robot Collaboration via Real-time Approximate Bayesian Inference—0
On the Convergence of the Shapley Value in Parametric Bayesian Learning GamesCode0
Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems—0
Addressing Census data problems in race imputation via fully Bayesian Improved Surname Geocoding and name supplements—0
Scalable Stochastic Parametric Verification with Stochastic Variational Smoothed Model Checking—0
Sequential Importance Sampling for Hybrid Model Bayesian Inference to Support Bioprocess Mechanism Learning and Robust Control—0
A Deep Learning Approach to Dst Index Prediction—0
Bézier Curve Gaussian Processes—0
TopWORDS-Seg: Simultaneous Text Segmentation and Word Discovery for Open-Domain Chinese Texts via Bayesian Inference—0
A Dataset-free Deep learning Method for Low-Dose CT Image Reconstruction—0
Approximating Permutations with Neural Network Components for Travelling Photographer Problem—0
Deep Ensemble as a Gaussian Process Approximate Posterior—0
Statistical applications of contrastive learning—0
Designing Perceptual Puzzles by Differentiating Probabilistic Programs—0
Zero-Shot Logit AdjustmentCode1
A Bayesian Approach To Graph Partitioning—0
The Boltzmann Policy Distribution: Accounting for Systematic Suboptimality in Human ModelsCode1
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
A stochastic Stein Variational Newton methodCode0
Beta Residuals: Improving Fault-Tolerant Control for Sensory Faults via Bayesian Inference and Precision Learning—0
Learning-based Bounded Synthesis for Semi-MDPs with LTL Specifications—0
Predictive coding and stochastic resonance as fundamental principles of auditory perception—0
Deep surrogate accelerated delayed-acceptance HMC for Bayesian inference of spatio-temporal heat fluxes in rotating disc systemsCode0
Hybrid Predictive Coding: Inferring, Fast and Slow—0
Variational message passing for online polynomial NARMAX identificationCode0
Scalable Semi-Modular Inference with Variational Meta-PosteriorsCode0
A Framework for Improving the Reliability of Black-box Variational InferenceCode1
Primitive-based Shape Abstraction via Nonparametric Bayesian Inference—0
Free energy and inference in living systems—0
Bayesian Deep Learning with Multilevel Trace-class Neural Networks—0
Knowledge Removal in Sampling-based Bayesian InferenceCode1
Statistic Selection and MCMC for Differentially Private Bayesian EstimationCode0
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Generative models and Bayesian inversion using Laplace approximation—0
Accelerated Bayesian SED Modeling using Amortized Neural Posterior EstimationCode1
Quantifying active and resistive stresses in adherent cells—0
GATSBI: Generative Adversarial Training for Simulation-Based InferenceCode1
Sampling Bias Correction for Supervised Machine Learning: A Bayesian Inference Approach with Practical Applications—0
Estimation of the incubation period and generation time of SARS-CoV-2 Alpha and Delta variants from contact tracing data—0
Bayesian inference via sparse Hamiltonian flowsCode0
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Benchmark Results

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