
Recent discussions have highlighted the advancements in optimization techniques at Google, particularly focusing on the Vizier Gaussian Process Bandit algorithm. This algorithm has been pivotal in enhancing black-box optimization tasks, including hyperparameter search, across various applications within the company. Jeff Dean noted that Vizier is utilized in tens of thousands of scenarios at Google, demonstrating its effectiveness in high-dimensional problems compared to other solutions. The algorithm has undergone significant improvements over the years, benefiting from extensive research and user feedback, which has helped set new standards in the field. Additionally, a new paper detailing the implementation and design choices of the Vizier algorithm was released by researchers from Google DeepMind and Google Research.
The Vizier Gaussian Process Bandit Algorithm. https://t.co/JNhYuhWBb2
[LG] The Vizier Gaussian Process Bandit Algorithm X Song, Q Zhang, C Lee, E Fertig... [Google DeepMind & Google Research] (2024) https://t.co/7LNOtsAyQA - The paper presents the implementation details and design choices of the default algorithm in Google Vizier, which is based… https://t.co/j0m6SJPxLy
Vizier is a tool used in tens of thousands of places at Google for a huge variety of different black box optimization tasks, including hyperparameter search. Especially for high dimensional problems, it's dramatically better than other solutions. There's an open source version! https://t.co/KdB5twV4iy https://t.co/R1Ca4pscNu





