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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 1276–1300 of 2226 papers

TitleStatusHype
STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent—0
Statistical and Computational Trade-offs in Variational Inference: A Case Study in Inferential Model Selection—0
Statistical applications of contrastive learning—0
Statistical Mechanics of Dynamical System Identification—0
Statistical Mechanics of High-Dimensional Inference—0
Statistical physics, Bayesian inference and neural information processing—0
Stein transport for Bayesian inference—0
Stein Variational Gradient Descent for Approximate Bayesian Computation—0
Stein Variational Gradient Descent: many-particle and long-time asymptotics—0
Stein Variational Model Predictive Control—0
Stein Variational Policy Gradient—0
Stochastic Collapsed Variational Bayesian Inference for Latent Dirichlet Allocation—0
Stochastic Control Barrier Functions with Bayesian Inference for Unknown Stochastic Differential Equations—0
Stochastic Frontier Analysis with Generalized Errors: inference, model comparison and averaging—0
Stochastic full waveform inversion with deep generative prior for uncertainty quantification—0
Noise and Fluctuation of Finite Learning Rate Stochastic Gradient Descent—0
Stochastic Gradient Hamiltonian Monte Carlo with Variance Reduction for Bayesian Inference—0
Stochastic Gradient MCMC Methods for Hidden Markov Models—0
Efficient and Generalizable Tuning Strategies for Stochastic Gradient MCMC—0
Stochastic Gradient Richardson-Romberg Markov Chain Monte Carlo—0
Stochastic inference with deterministic spiking neurons—0
Stochastic inference with spiking neurons in the high-conductance state—0
Stochasticity from function -- why the Bayesian brain may need no noise—0
A Two-stage Multiband WiFi Sensing Scheme via Stochastic Particle-Based Variational Bayesian Inference—0
Stochastic Relational Models for Large-scale Dyadic Data using MCMC—0
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Benchmark Results

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