Issues

• Figure missing in "How many trials are needed to get good results with quasi-random search?"

  google-research/tuning_playbook#82 · Filter by author nikitas-theo opened on Aug 4, 2025

• Miscategorization of hyperparameter

  google-research/tuning_playbook#80 · Filter by author daniel-koronthaly opened on Mar 18, 2025

• Question about optimizing away nuisance hyperparameters and the need for a secondary validation set

  google-research/tuning_playbook#79 · Filter by author kkew3 opened on Dec 11, 2024

• Update for Transformers/LLM/SLM

  google-research/tuning_playbook#77 · Filter by author fzyzcjy opened on Oct 29, 2024
  1

• "trial" or "study"

  google-research/tuning_playbook#76 · Filter by author yeknafar opened on Sep 13, 2024

• Missing image "have_we_sampled_enough.png" in FAQ section

  google-research/tuning_playbook#74 · Filter by author dylanhogg opened on Aug 3, 2024

• Request to cover "2-3 weeks upper bound with data-freeze"

  google-research/tuning_playbook#73 · Filter by author 21kc-caracol opened on Jul 17, 2024

• Request to cover "Insensitivity to tuning" in the playbook

  google-research/tuning_playbook#72 · Filter by author 21kc-caracol opened on Jul 9, 2024

• Why avoid gradient accumulation?

  google-research/tuning_playbook#69 · Filter by author RonanKMcGovern opened on May 30, 2024
  5

• Utilize Hyperband/ASHA scheduler? (Willing to PR)

  google-research/tuning_playbook#27 · Filter by author fzyzcjy opened on Jan 26, 2023
  3

  

• Consider recommending scipy.stats.qmc for quasi-Monte Carlo sequence generation

  google-research/tuning_playbook#2 · Filter by author shoyer opened on Jan 19, 2023
  4