Is autoresearch better than classic hyperparameter tuning?

Show HN: Is autoresearch better than classic hyperparameter tuning?

Is autoresearch better than classic hyperparameter tuning? is a company in show hn launch.

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We did experiments comparing Optuna & autoresearch. Autoresearch converges faster, is more cost-efficient, and even generalizes better.Experiments were done on NanoChat: we let Claude define Optuna’s search space to align the priors between methods. Both optimization methods were run three times. Autoresearch is far more sample-efficient on averageIn 5 min training setting, LLM tokens cost as much as GPUs, but despite a 2× higher per-step cost, AutoResearch still comes out ahead across all cost budgetsWhat’s more, the solution found by autoresearch generalizes better than Optuna’s. We gave the best solutions more training time; the absolute score gap widens, and the statistical significance

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Website: www.weco.ai/blog/autoresearch-vs-classical-hpo