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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 1876–1900 of 2226 papers

TitleStatusHype
Vectorial Dimension Reduction for Tensors Based on Bayesian Inference—0
Stochastic Gradient MCMC Methods for Hidden Markov Models—0
BiSeg: Simultaneous Instance Segmentation and Semantic Segmentation with Fully Convolutional Networks—0
Streaming Bayesian inference: theoretical limits and mini-batch approximate message-passing—0
Efficient Low-Order Approximation of First-Passage Time Distributions—0
Variational Sequential Monte CarloCode0
Bayesian stochastic blockmodeling—0
Stock Trading Using PE ratio: A Dynamic Bayesian Network Modeling on Behavioral Finance and Fundamental Investment—0
Generative Model with Coordinate Metric Learning for Object Recognition Based on 3D Models—0
Parallel Streaming Wasserstein BarycentersCode1
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models—0
Joint Positioning and Radio Map Generation Based on Stochastic Variational Bayesian Inference for FWIPS—0
Approximate Bayesian inference as a gauge theory—0
Constrained Bayesian Networks: Theory, Optimization, and Applications—0
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach—0
Calibration and Filtering of Exponential L\'evy Option Pricing Models—0
Forecasting using incomplete models—0
Bayesian Image Quality Transfer with CNNs: Exploring Uncertainty in dMRI Super-Resolution—0
Sharing deep generative representation for perceived image reconstruction from human brain activityCode0
Mixture modeling on related samples by ψ-stick breaking and kernel perturbation—0
Metropolis Sampling—0
Stochastic Gradient Descent as Approximate Bayesian InferenceCode0
Object proposal generation applying the distance dependent Chinese restaurant processCode0
Bayesian Inference of Individualized Treatment Effects using Multi-task Gaussian ProcessesCode0
Stein Variational Policy Gradient—0
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Benchmark Results

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