https://probablymarcus.com/blocks/2023/03/28/gp-extrapolation-sometimes-goofy.html Gaussian Processes Extrapolate, Sometimes in Goofy WaysMarcus Lewis3/28/23 4:59 AM “This leads to something that is undesirable in hyperparameter tuning: if ever you discover a sudden drop-off in performance…
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.
What I Read: Parallel Bayesian Optimization
https://medium.com/riskified-technology/from-sequential-to-parallel-a-story-about-parallel-bayesian-hyperparameter-optimization-f124ed29f556 From Sequential to Parallel, a story about Bayesian Hyperparameter OptimizationAndres AsaraviciusApr 26 “The goal of this process is to find the best set of parameters, and our goal was
What I Read: Best Practices for Building Machine Learning at Scale
https://medium.com/dataseries/linkedins-pro-ml-architecture-summarizes-best-practices-for-building-machine-learning-at-scale-77fcb6afc9ec LinkedIn’s Pro-ML Architecture Summarizes Best Practices for Building Machine Learning at ScaleThe reference architecture is powering mission critical machine learning workflows within LinkedIn.Jesus RodriguezSep 17 “Building machine learning solutions
What I Read: Running Machine Learning at Scale
https://medium.com/@jrodthoughts/some-things-uber-learned-from-running-machine-learning-at-scale-70dccdfb944d Some Things Uber Learned from Running Machine Learning at ScaleUber machine learning runtime Michelangelo has been in operation for a few years. What has the Uber team learned?Jesus RodriguezJul
What I Read: Exploring Bayesian Optimization
https://distill.pub/2020/bayesian-optimization/ Exploring Bayesian OptimizationBreaking Bayesian Optimization into small, sizeable chunks.AuthorsApoorv AgnihotriIndian Insitute of Technology GandhinagarNipun BatraIndian Insitute of Technology GandhinagarPublishedMay 5, 2020DOI10.23915/distill.00026 “Many modern machine learning algorithms have a large