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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
Continual Learning via Sequential Function-Space Variational InferenceCode1
The Discriminative Kalman Filter for Bayesian Filtering with Nonlinear and Nongaussian Observation ModelsCode1
Particle Flow Bayes' RuleCode1
Can Sequential Bayesian Inference Solve Continual Learning?—0
Connections between sequential Bayesian inference and evolutionary dynamics—0
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
Efficient Low-Order Approximation of First-Passage Time Distributions—0
Hidden Markov Model: Tutorial—0
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