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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 2076–2100 of 2226 papers

TitleStatusHype
Poisson Process Jumping between an Unknown Number of Rates: Application to Neural Spike Data—0
Scalable Inference for Neuronal Connectivity from Calcium Imaging—0
Nonparametric Bayesian inference on multivariate exponential families—0
Decoupled Variational Gaussian Inference—0
Neurons as Monte Carlo Samplers: Bayesian Inference and Learning in Spiking Networks—0
A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation—0
Big Learning with Bayesian Methods—0
Noise Benefits in Expectation-Maximization Algorithms—0
Toward a Universal Cortical Algorithm: Examining Hierarchical Temporal Memory in Light of Frontal Cortical Function—0
Multi-view Anomaly Detection via Probabilistic Latent Variable Models—0
The Bayesian Echo Chamber: Modeling Social Influence via Linguistic Accommodation—0
Bayesian feature selection with strongly-regularizing priors maps to the Ising Model—0
Population Empirical BayesCode0
Variational Inference for Gaussian Process Modulated Poisson Processes—0
Scalable Nonparametric Bayesian Inference on Point Processes with Gaussian Processes—0
Markov Chain Monte Carlo and Variational Inference: Bridging the Gap—0
Variational Reformulation of Bayesian Inverse ProblemsCode0
Variational Bayes for Merging Noisy Databases—0
Bayesian regression and BitcoinCode0
Synaptic plasticity as Bayesian inference—0
BayesPy: Variational Bayesian Inference in Python—0
A Bayesian Tensor Factorization Model via Variational Inference for Link Prediction—0
Order-invariant prior specification in Bayesian factor analysis—0
Recent Progress in Image Deblurring—0
A Concept Learning Approach to Multisensory Object Perception—0
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Benchmark Results

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