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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 2151–2200 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
Distributed Bayesian inference for consistent labeling of tracked objects in non-overlapping camera networks—0
Bayesian Differential Privacy through Posterior Sampling—0
Declarative Modeling and Bayesian Inference of Dark Matter Halos—0
NLI Shared Task 2013: MQ Submission—0
A Bayesian Approach to Multimodal Visual Dictionary Learning—0
Mean field variational Bayesian inference for support vector machine classification—0
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation—0
Towards an Author-Topic-Term-Model Visualization of 100 Years of German Sociological Society Proceedings—0
Inferring ground truth from multi-annotator ordinal data: a probabilistic approach—0
Model-based Bayesian Reinforcement Learning for Dialogue Management—0
Bayesian Inference in Model-Based Machine Vision—0
Bayesian Inference for Radar Imagery Based Surveillance—0
Taxonomy, Structure, and Implementation of Evidential Reasoning—0
Some Extensions of Probabilistic Logic—0
How Much More Probable is "Much More Probable"? Verbal Expressions for Probability Updates—0
Lp : A Logic for Statistical Information—0
Heuristic Search as Evidential Reasoning—0
Model-based Influence Diagrams for Machine Vision—0
Inferring Fitness in Finite Populations with Moran-like dynamicsCode0
Improved Combinatory Categorial Grammar Induction with Boundary Words and Bayesian Inference—0
Fast Bayesian Inference for Non-Conjugate Gaussian Process Regression—0
Fully Bayesian inference for neural models with negative-binomial spiking—0
Burn-in, bias, and the rationality of anchoring—0
Mixability in Statistical Learning—0
Homeostatic plasticity in Bayesian spiking networks as Expectation Maximization with posterior constraints—0
Laplace approximation for logistic Gaussian process density estimation and regressionCode0
Locally adaptive factor processes for multivariate time series—0
Bayesian Inference with Posterior Regularization and applications to Infinite Latent SVMs—0
Negative Binomial Process Count and Mixture ModelingCode0
Exploiting Reducibility in Unsupervised Dependency Parsing—0
Semantic Parsing with Bayesian Tree Transducers—0
A Probabilistic Model for Canonicalizing Named Entity Mentions—0
Estimating Compact Yet Rich Tree Insertion Grammars—0
Using Rejuvenation to Improve Particle Filtering for Bayesian Word Segmentation—0
Variational Bayesian Inference with Stochastic Search—0
Bayesian inference for logistic models using Polya-Gamma latent variablesCode1
Webservices for Bayesian Learning—0
Inference in continuous-time change-point models—0
Practical Variational Inference for Neural Networks—0
Spike and Slab Variational Inference for Multi-Task and Multiple Kernel Learning—0
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Benchmark Results

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