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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 1351–1400 of 2226 papers

TitleStatusHype
Bayesian neural networks and dimensionality reduction—0
Data-Informed Decomposition for Localized Uncertainty Quantification of Dynamical Systems—0
BAT.jl -- A Julia-based tool for Bayesian inference—0
Bayesian learning of orthogonal embeddings for multi-fidelity Gaussian Processes—0
The Exact Asymptotic Form of Bayesian Generalization Error in Latent Dirichlet AllocationCode0
Exploring Variational Deep Q NetworksCode0
Bayesian Inference of Minimally Complex Models with Interactions of Arbitrary OrderCode0
Rule-based Bayesian regressionCode0
Bayesian Inference by Symbolic Model Checking—0
Active pooling design in group testing based on Bayesian posterior prediction—0
Online neural connectivity estimation with ensemble stimulationCode0
Deep Knowledge Tracing with Learning Curves—0
Joint Mind Modeling for Explanation Generation in Complex Human-Robot Collaborative Tasks—0
Are low frequency macroeconomic variables important for high frequency electricity prices?—0
SBI -- A toolkit for simulation-based inference—0
Modeling Stochastic Microscopic Traffic Behaviors: a Physics Regularized Gaussian Process Approach—0
Faster Uncertainty Quantification for Inverse Problems with Conditional Normalizing Flows—0
A Class of Conjugate Priors for Multinomial Probit Models which Includes the Multivariate Normal One—0
BaCOUn: Bayesian Classifers with Out-of-Distribution Uncertainty—0
Characteristics of Monte Carlo Dropout in Wide Neural Networks—0
Variational Inference with Continuously-Indexed Normalizing FlowsCode0
Meta-Learning Divergences of Variational Inference—0
Kernel Stein Generative Modeling—0
Stochastic Variational Bayesian Inference for a Nonlinear Forward Model—0
The FMRIB Variational Bayesian Inference Tutorial II: Stochastic Variational Bayes—0
WattScale: A Data-driven Approach for Energy Efficiency Analytics of Buildings at Scale—0
AutoBayes: Automated Bayesian Graph Exploration for Nuisance-Robust Inference—0
Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints—0
Decentralized Stochastic Gradient Langevin Dynamics and Hamiltonian Monte Carlo—0
Bayesian Low Rank Tensor Ring Model for Image Completion—0
Unlabelled Data Improves Bayesian Uncertainty Calibration under Covariate Shift—0
The principles of adaptation in organisms and machines II: Thermodynamics of the Bayesian brain—0
Stacking for Non-mixing Bayesian Computations: The Curse and Blessing of Multimodal PosteriorsCode0
Constraining subglacial processes from surface velocity observations using surrogate-based Bayesian inference—0
Calibration of Model Uncertainty for Dropout Variational Inference—0
Learning to infer in recurrent biological networksCode0
Variational State-Space Models for Localisation and Dense 3D Mapping in 6 DoF—0
Solving Differential Equations Using Neural Network Solution Bundles—0
Hidden Markov Models Applied To Intraday Momentum Trading With Side Information—0
Deep Autoencoding Topic Model with Scalable Hybrid Bayesian Inference—0
Faster MCMC for Gaussian Latent Position Network ModelsCode0
Scalable Control Variates for Monte Carlo Methods via Stochastic Optimization—0
Approximate Inference for Spectral Mixture Kernel—0
Detecting structural perturbations from time series with deep learningCode0
A Variational View on Bootstrap Ensembles as Bayesian Inference—0
Analogy as Nonparametric Bayesian Inference over Relational Systems—0
Linguists Who Use Probabilistic Models Love Them: Quantification in Functional Distributional Semantics—0
Variational Bayesian Inference for Crowdsourcing Predictions—0
Adaptive quadrature schemes for Bayesian inference via active learning—0
QuLBIT: Quantum-Like Bayesian Inference Technologies for Cognition and Decision—0
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Benchmark Results

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