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Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for
  Hyperparameter Recommendation
v1v2 (latest)

Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation

17 June 2021
Yuxin Xiao
Eric P. Xing
Willie Neiswanger
ArXiv (abs)PDFHTML

Papers citing "Amortized Auto-Tuning: Cost-Efficient Bayesian Transfer Optimization for Hyperparameter Recommendation"

4 / 4 papers shown
Title
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Generalizing Bayesian Optimization with Decision-theoretic Entropies
Willie Neiswanger
Lantao Yu
Shengjia Zhao
Chenlin Meng
Stefano Ermon
UQCV
90
11
0
04 Oct 2022
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Privacy-preserving Online AutoML for Domain-Specific Face Detection
Chenqian Yan
Yuge Zhang
Quanlu Zhang
Yaming Yang
Xinyang Jiang
Yuqing Yang
Baoyuan Wang
CVBM
53
6
0
16 Mar 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
166
48
0
01 Feb 2022
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems
  for HPO
HPOBench: A Collection of Reproducible Multi-Fidelity Benchmark Problems for HPO
Katharina Eggensperger
Philip Muller
Neeratyoy Mallik
Matthias Feurer
René Sass
Aaron Klein
Noor H. Awad
Marius Lindauer
Frank Hutter
237
104
0
14 Sep 2021
1