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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
On Sequential Bayesian Inference for Continual LearningCode0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
Can Sequential Bayesian Inference Solve Continual Learning?—0
Discriminative Bayesian filtering lends momentum to the stochastic Newton method for minimizing log-convex functionsCode0
Hidden Markov Model: Tutorial—0
Thompson Sampling on Symmetric α-Stable Bandits—0
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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