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Sequential Bayesian Inference

Also known as Bayesian filtering or recursive Bayesian estimation, this task aims to perform inference on latent state-space models.

Papers

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Showing 11–20 of 20 papers

TitleStatusHype
Can Sequential Bayesian Inference Solve Continual Learning?—0
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functionsCode0
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation ModelsCode1
Hidden Markov Model: Tutorial—0
Thompson Sampling on Symmetric α-Stable Bandits—0
Particle Flow Bayes' RuleCode1
Functional Regularisation for Continual Learning with Gaussian ProcessesCode0
A Discriminative Approach to Bayesian Filtering with Applications to Human Neural DecodingCode0
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Efficient Low-Order Approximation of First-Passage Time Distributions—0
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