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Predicting the utility of search spaces for black-box optimization: a
  simple, budget-aware approach
v1v2 (latest)

Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach

15 December 2021
Setareh Ariafar
Justin Gilmer
Zachary Nado
Jasper Snoek
Rodolphe Jenatton
George E. Dahl
ArXiv (abs)PDFHTML

Papers citing "Predicting the utility of search spaces for black-box optimization: a simple, budget-aware approach"

2 / 2 papers shown
Title
How far away are truly hyperparameter-free learning algorithms?
How far away are truly hyperparameter-free learning algorithms?
Priya Kasimbeg
Vincent Roulet
Naman Agarwal
Sourabh Medapati
Fabian Pedregosa
Atish Agarwala
George E. Dahl
123
0
0
29 May 2025
Show Your Work with Confidence: Confidence Bands for Tuning Curves
Show Your Work with Confidence: Confidence Bands for Tuning Curves
Nicholas Lourie
Kyunghyun Cho
He He
114
3
0
16 Nov 2023
1