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Lecture Number 10 of the Complete Machine Learning series by Nando de Freitas, Univeristy of British Columbia. Bayesian ... We study the general problem of how to learn through experience to make intelligent decisions. In this setting, called the ...
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EPBT: Population Based Training for Loss Function Optimization (NeurIPS'19)
Xingchen Wan | "Bayesian Generational Population-Based Training"
On Correlation and Budget Constraints in Model-based Bandit Optimization -- Matthew Hoffman
Multi-Armed Bandit : Data Science Concepts
[AutoMLConf'22]: Bayesian Generational Population-based Training
Semi-bandit Optimization in the Dispersed Setting
Bandits, Active Learning, Bayesian RL and Global Optimization - Marc Toussaint - MLSS 2013 Tübingen
The Contextual Bandits Problem: A New, Fast, and Simple Algorithm
Fast Rates for Bandit Optimization with Upper-Confidence Frank-Wolfe
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Last Updated: June 14, 2026
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![[AutoMLConf'22]: Bayesian Generational Population-based Training](https://i0.wp.com/i.ytimg.com/vi/DGomd6Mox_0/mqdefault.jpg?resize=320,180)
