https://truetheta.io/concepts/reinforcement-learning/lin-ucb A Reliable Contextual Bandit Algorithm: LinUCBDJ RichAugust 6, 2024 “A user visits a news website. Which articles should they be shown?”
What I Read: decision analysis, significance testing
https://statmodeling.stat.columbia.edu/2024/07/10/a-misunderstanding-about-decision-analysis-and-significance-testing (Trying to) clear up a misunderstanding about decision analysis and significance testingAndrew Gelman7/10/24 9:03 AM “…we’re just saying that screening based on statistical significance has lots of problems. P-values
What I Read: Kalman Filter
https://www.youtube.com/watch?v=-DiZGpAh7T4 Kalman Filter – VISUALLY EXPLAINED!Kapil Sachdeva “This tutorial explains the Kalman Filter from Bayesian Probabilistic View and as a special case of Bayesian Filtering.”
What I Read: reliance on AI-assisted decisions
https://statmodeling.stat.columbia.edu/2024/03/06/defining-optimal-reliance-on-model-predictions-in-ai-assisted-decisions/Defining optimal reliance on model predictions in AI-assisted decisionsJessica Hullman3/6/24 12:31 PM “…AI-assisted decision task is of interest as organizations deploy predictive models to assist human decision-making in domains like
What I Read: Tree-Structured Parzen Estimator
https://towardsdatascience.com/building-a-tree-structured-parzen-estimator-from-scratch-kind-of-20ed31770478 Building a Tree-Structured Parzen Estimator from Scratch (Kind Of)An alternative to traditional hyperparameter tuning methodsColin HorganApr 4 “Although popular, Grid and Random Search methods… are purely trial and error.