Tag: update
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Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling
Nonlinear Bayesian Update via Ensemble Kernel Regression with Clustering and Subsampling arXiv:2503.15160v1 Announce Type: new Abstract: Nonlinear Bayesian update for a prior ensemble is proposed to extend traditional ensemble Kalman filtering to settings characterized by non-Gaussian priors and nonlinear measurement operators. In this framework, the observed component is first denoised via a standard Kalman update,…
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Jeffrey’s update rule as a minimizer of Kullback-Leibler divergence
Jeffrey’s update rule as a minimizer of Kullback-Leibler divergence arXiv:2502.15504v1 Announce Type: new Abstract: In this paper, we show a more concise and high level proof than the original one, derived by researcher Bart Jacobs, for the following theorem: in the context of Bayesian update rules for learning or updating internal states that produce predictions,…
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On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration
On Generalization and Distributional Update for Mimicking Observations with Adequate Exploration arXiv:2501.12785v1 Announce Type: new Abstract: This paper tackles the efficiency and stability issues in learning from observations (LfO). We commence by investigating how reward functions and policies generalize in LfO. Subsequently, the built-in reinforcement learning (RL) approach in generative adversarial imitation from observation (GAIfO)…