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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 1851–1900 of 2226 papers

TitleStatusHype
Variational Gaussian Dropout is not Bayesian—0
Flexible statistical inference for mechanistic models of neural dynamicsCode0
Spintronics based Stochastic Computing for Efficient Bayesian Inference System—0
Learning Asymmetric and Local Features in Multi-Dimensional Data through Wavelets with Recursive PartitioningCode0
Deep Neural Networks as Gaussian ProcessesCode0
Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical ReportCode0
Tensor Regression Meets Gaussian Processes—0
Theoretical and Computational Guarantees of Mean Field Variational Inference for Community Detection—0
Implicit Causal Models for Genome-wide Association Studies—0
Reparameterizing the Birkhoff Polytope for Variational Permutation Inference—0
Bayesian Inference over the Stiefel Manifold via the Givens Representation—0
A Bayesian Method for Joint Clustering of Vectorial Data and Network DataCode0
Variational Inference based on Robust DivergencesCode0
Automated Scalable Bayesian Inference via Hilbert CoresetsCode0
Bayesian Hypernetworks—0
Marginal sequential Monte Carlo for doubly intractable models—0
sgmcmc: An R Package for Stochastic Gradient Markov Chain Monte CarloCode0
Bayesian estimation of Differential Transcript Usage from RNA-seq data—0
Symbolic Analysis-based Reduced Order Markov Modeling of Time Series Data—0
BIBI: Bayesian Inference of Breed Composition—0
Bayesian Inference of Spreading Processes on Networks—0
Generative learning for deep networks—0
Analytic solution and stationary phase approximation for the Bayesian lasso and elastic netCode0
Approximate Bayesian Inference in Linear State Space Models for Intermittent Demand Forecasting at Scale—0
ZhuSuan: A Library for Bayesian Deep LearningCode0
Asymptotic Bayesian Generalization Error in Latent Dirichlet Allocation and Stochastic Matrix Factorization—0
Roll-back Hamiltonian Monte Carlo—0
Inverse Ising problem in continuous time: A latent variable approachCode0
Learning Inference Models for Computer Vision—0
Fast Low-Rank Bayesian Matrix Completion with Hierarchical Gaussian Prior Models—0
Dirichlet Bayesian Network Scores and the Maximum Relative Entropy Principle—0
PROBE-GK: Predictive Robust Estimation using Generalized Kernels—0
Chance, long tails, and inference: a non-Gaussian, Bayesian theory of vocal learning in songbirds—0
Learning to Draw Samples with Amortized Stein Variational Gradient Descent—0
Recovering Latent Signals from a Mixture of Measurements using a Gaussian Process Prior—0
Comparative Study of Inference Methods for Bayesian Nonnegative Matrix FactorisationCode0
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
Accelerated Parallel Non-conjugate Sampling for Bayesian Non-parametric Models—0
Approximate Bayesian inference as a gauge theory—0
Joint Positioning and Radio Map Generation Based on Stochastic Variational Bayesian Inference for FWIPS—0
Quantifying Aspect Bias in Ordinal Ratings using a Bayesian Approach—0
Constrained Bayesian Networks: Theory, Optimization, and Applications—0
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Benchmark Results

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