BOHB: Robust and Efficient Hyperparameter Optimization at Scale

4 July 2018

Papers citing "BOHB: Robust and Efficient Hyperparameter Optimization at Scale"

6 / 206 papers shown

Title
Random Search and Reproducibility for Neural Architecture Search Liam Li Ameet Talwalkar OOD 36 718 0 20 Feb 2019
Multi-fidelity Bayesian Optimization with Max-value Entropy Search and its parallelization Shion Takeno H. Fukuoka Yuhki Tsukada T. Koyama M. Shiga Ichiro Takeuchi Masayuki Karasuyama 24 40 0 24 Jan 2019
A System for Massively Parallel Hyperparameter Tuning Liam Li Kevin G. Jamieson Afshin Rostamizadeh Ekaterina Gonina Moritz Hardt Benjamin Recht Ameet Talwalkar 24 373 0 13 Oct 2018
CHOPT : Automated Hyperparameter Optimization Framework for Cloud-Based Machine Learning Platforms Jingwoong Kim Minkyu Kim Heungseok Park Ernar Kusdavletov Dongjun Lee A. Kim Ji-Hoon Kim Jung-Woo Ha Nako Sung 34 14 0 08 Oct 2018
Maximizing acquisition functions for Bayesian optimization James T. Wilson Frank Hutter M. Deisenroth 46 240 0 25 May 2018
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 274 5,331 0 05 Nov 2016