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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 1576–1600 of 2226 papers

TitleStatusHype
A Generalization Bound for Online Variational Inference—0
A Generative Modeling Framework for Inferring Families of Biomechanical Constitutive Laws in Data-Sparse Regimes—0
A Gibbs Sampler for Efficient Bayesian Inference in Sign-Identified SVARs—0
A Group-Wise Narrow Beam Design for Uplink Channel Estimation in Hybrid Beamforming Systems—0
A hierarchical Bayesian model for syntactic priming—0
A hybrid tau-leap for simulating chemical kinetics with applications to parameter estimation—0
AI and extreme scale computing to learn and infer the physics of higher order gravitational wave modes of quasi-circular, spinning, non-precessing binary black hole mergers—0
AI-Powered Bayesian Inference—0
A Kernel Learning Method for Backward SDE Filter—0
A Kolmogorov-Smirnov test for the molecular clock on Bayesian ensembles of phylogenies—0
A Latent Space Theory for Emergent Abilities in Large Language Models—0
A Learning- and Scenario-based MPC Design for Nonlinear Systems in LPV Framework with Safety and Stability Guarantees—0
Algorithms for Inference in SVARs Identified with Sign and Zero Restrictions—0
Algorithms of the LDA model [REPORT]—0
Aligned Multi-Task Gaussian Process—0
Alternating linear scheme in a Bayesian framework for low-rank tensor approximation—0
A majorization-minimization algorithm for nonnegative binary matrix factorization—0
A Markov Model of Machine Translation using Non-parametric Bayesian Inference—0
A Mathematical Trust Algebra for International Nation Relations Computation and Evaluation—0
A Mathematical Walkthrough and Discussion of the Free Energy Principle—0
A Mean Field Approach to Empirical Bayes Estimation in High-dimensional Linear Regression—0
Amortised Inference in Neural Networks for Small-Scale Probabilistic Meta-Learning—0
Variational inference of fractional Brownian motion with linear computational complexity—0
Amortized Bayesian Inference for Models of Cognition—0
Amortized Bayesian Mixture Models—0
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Benchmark Results

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