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Paper ID 479 - Neighbor Regularized Bayesian Optimization for Hyperparameter Optimization
Bayesian Optimization (Bayes Opt): Easy explanation of popular hyperparameter tuning method
Introduction to Parallel Bayesian Optimization
AutoML conference speakers 2021
[AUTOML23] SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
[AUTOML24] In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization
Bayesian Optimization
Martin Wistuba: Hyperparameter optimization for the impatient
Bayesian Hyperparameter Optimization for Keras (8.4)
ML Evolution: Driving Business Results with Machine Learning - Andres Asaravicius (Hebrew)
A Language-Guided Bayesian Optimization for Efficient LoRA Hyperparameter Search (ICML'2026)
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Last Updated: October 13, 2026
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This lecture was part of the AutoML conference, organized by the MDLI community. Link: bit.ly/AutoMLConf. This was presented by Kejia Shi at the Silicon Valley Big Data Science meetup on August 16, 2017. Note this was a live recording ... ... Yonatan Geifman, Deci ai From Authors: Marius Lindauer, Katharina Eggensperger, Matthias Feurer, André Biedenkapp, Difan Deng, Carolin Benjamins, Tim ... Authors: Herilalaina Rakotoarison, Steven Adriaensen, Neeratyoy Mallik, Samir Garibov, Edward Bergman, Frank Hutter ... The Machine Learning ecosystem has completely changed over the years, from the challenge of training a single model to the ... International Conference on Machine Learning (ICML) 2026 [Presented Paper] A Language-Guided
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![[AUTOML23] SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization](https://i.ytimg.com/vi/-qdiIRXT-14/mqdefault.jpg)
![[AUTOML24] In-Context Freeze-Thaw Bayesian Optimization for Hyperparameter Optimization](https://i.ytimg.com/vi/KKP4uOM_Qs4/mqdefault.jpg)
