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cs.LG2026
CausationEntropy: Pythonic Optimal Causation Entropy
Kevin Slote, Jeremie Fish, Erik Bollt
Optimal Causation Entropy (oCSE) is a robust causal network modeling technique that reveals causal networks from dynamical systems and coupled oscillators, distinguishing direct fr…
cs.LG2024
Online Performance Estimation with Unlabeled Data: A Bayesian Application of the Hui-Walter Paradigm
Kevin Slote, Elaine Lee
In the industrial practice of machine learning and statistical modeling, practitioners often work under the assumption of accessible, static, labeled data for evaluation and traini…