SOTAVerified

Bayesian Inference

Bayesian Inference is a methodology that employs Bayes Rule to estimate parameters (and their full posterior).

Papers

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Showing 2151–2160 of 2226 papers

TitleStatusHype
Decipherment Complexity in 1:1 Substitution Ciphers—0
A Markov Model of Machine Translation using Non-parametric Bayesian Inference—0
Modeling Human Decision-making in Generalized Gaussian Multi-armed Bandits—0
Probabilistic inverse reinforcement learning in unknown environments—0
Algorithms of the LDA model [REPORT]—0
Non-Uniform Blind Deblurring with a Spatially-Adaptive Sparse Prior—0
On Russian Roulette Estimates for Bayesian Inference with Doubly-Intractable Likelihoods—0
Bayesian Inference and Learning in Gaussian Process State-Space Models with Particle MCMC—0
Bayesian Inference of Natural Rankings in Incomplete Competition Networks—0
Fast Dual Variational Inference for Non-Conjugate LGMs—0
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Benchmark Results

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