Meta-Surrogate model speeds up HPO benchmarking.
problem Limited and expensive real-world HPO benchmarks.
method Meta-surrogate model trained on off-line data.
result More coherent and statistically significant conclusions faster.
A locally-built, LLM-digested index of recent arXiv papers in quant finance, geometry/topology, and statistical ML — keyword search served straight from SQLite on this machine.
Meta-Surrogate model speeds up HPO benchmarking.
AEGiS optimizes expensive function evaluations asynchronously.