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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 1701–1725 of 2226 papers

TitleStatusHype
Latent Gaussian Activity Propagation: Using Smoothness and Structure to Separate and Localize Sounds in Large Noisy Environments—0
Bandit Learning with Implicit FeedbackCode0
Bayesian Inference of Temporal Task Specifications from Demonstrations—0
Doubly Robust Bayesian Inference for Non-Stationary Streaming Data with -Divergences—0
Demystifying excessively volatile human learning: A Bayesian persistent prior and a neural approximation—0
Stochastic Gradient MCMC with Repulsive ForcesCode0
Bayesian Adversarial Spheres: Bayesian Inference and Adversarial Examples in a Noiseless Setting—0
Uncertainty propagation in neural networks for sparse coding—0
Uncertainty aware audiovisual activity recognition using deep Bayesian variational inference—0
Amortized Bayesian inference for clustering modelsCode0
Surrogate-assisted parallel tempering for Bayesian neural learningCode0
Bayesian Inference for Structural Vector Autoregressions Identified by Markov-Switching HeteroskedasticityCode0
Black-Box Autoregressive Density Estimation for State-Space Models—0
Informed MCMC with Bayesian Neural Networks for Facial Image Analysis—0
A Factor Graph Approach to Automated Design of Bayesian Signal Processing AlgorithmsCode0
BAR: Bayesian Activity Recognition using variational inference—0
Bayesian State Estimation for Unobservable Distribution Systems via Deep Learning—0
Learning and Inference in Hilbert Space with Quantum Graphical Models—0
Towards Principled Uncertainty Estimation for Deep Neural Networks—0
Mean-field theory of graph neural networks in graph partitioning—0
Clustering Time Series with Nonlinear Dynamics: A Bayesian Non-Parametric and Particle-Based Approach—0
Dynamic Likelihood-free Inference via Ratio Estimation (DIRE)—0
Stochastic Gradient MCMC for State Space ModelsCode0
Good Initializations of Variational Bayes for Deep Models—0
EMHMM Simulation Study—0
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Benchmark Results

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