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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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TitleStatusHype
Kernel embedding of maps for sequential Bayesian inference: The variational mapping particle filterCode0
Thompson Sampling on Symmetric α-Stable Bandits—0
An overview of differentiable particle filters for data-adaptive sequential Bayesian inference—0
A transport approach to sequential simulation-based inference—0
Can Sequential Bayesian Inference Solve Continual Learning?—0
Connections between sequential Bayesian inference and evolutionary dynamics—0
Efficient Low-Order Approximation of First-Passage Time Distributions—0
Hidden Markov Model: Tutorial—0
Surprise Calibration for Better In-Context Learning—0
Active Exploration based on Information Gain by Particle Filter for Efficient Spatial Concept Formation—0
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