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Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization

21 March 2016
Lisha Li
Kevin G. Jamieson
Giulia DeSalvo
Afshin Rostamizadeh
Ameet Talwalkar
ArXivPDFHTML

Papers citing "Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization"

12 / 262 papers shown
Title
Best arm identification in multi-armed bandits with delayed feedback
Best arm identification in multi-armed bandits with delayed feedback
Aditya Grover
Todor Markov
Patrick Attia
Norman Jin
Nicholas Perkins
...
M. Chen
Zi Yang
Stephen J. Harris
W. Chueh
Stefano Ermon
24
74
0
29 Mar 2018
Stochastic Hyperparameter Optimization through Hypernetworks
Stochastic Hyperparameter Optimization through Hypernetworks
Jonathan Lorraine
David Duvenaud
41
139
0
26 Feb 2018
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
The N-Tuple Bandit Evolutionary Algorithm for Game Agent Optimisation
Simon Lucas
Jialin Liu
Diego Perez-Liebana
16
47
0
16 Feb 2018
Hyperparameter Optimization: A Spectral Approach
Hyperparameter Optimization: A Spectral Approach
Elad Hazan
Adam R. Klivans
Yang Yuan
27
118
0
02 Jun 2017
Accelerating Neural Architecture Search using Performance Prediction
Accelerating Neural Architecture Search using Performance Prediction
Bowen Baker
O. Gupta
Ramesh Raskar
Nikhil Naik
15
30
0
30 May 2017
Black-Box Optimization in Machine Learning with Trust Region Based
  Derivative Free Algorithm
Black-Box Optimization in Machine Learning with Trust Region Based Derivative Free Algorithm
Hiva Ghanbari
K. Scheinberg
TPM
11
26
0
20 Mar 2017
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Multi-fidelity Bayesian Optimisation with Continuous Approximations
Kirthevasan Kandasamy
Gautam Dasarathy
J. Schneider
Barnabás Póczós
21
220
0
18 Mar 2017
Easy over Hard: A Case Study on Deep Learning
Easy over Hard: A Case Study on Deep Learning
Wei Fu
Tim Menzies
20
196
0
01 Mar 2017
Toward the automated analysis of complex diseases in genome-wide
  association studies using genetic programming
Toward the automated analysis of complex diseases in genome-wide association studies using genetic programming
Andrew Sohn
Randal S. Olson
J. Moore
LM&MA
21
23
0
06 Feb 2017
Applying Deep Learning to the Newsvendor Problem
Applying Deep Learning to the Newsvendor Problem
Afshin Oroojlooyjadid
L. Snyder
Martin Takáč
OOD
17
128
0
07 Jul 2016
Multi-fidelity Gaussian Process Bandit Optimisation
Multi-fidelity Gaussian Process Bandit Optimisation
Kirthevasan Kandasamy
Gautam Dasarathy
Junier B. Oliva
J. Schneider
Barnabás Póczós
14
76
0
20 Mar 2016
Sharp analysis of low-rank kernel matrix approximations
Sharp analysis of low-rank kernel matrix approximations
Francis R. Bach
86
277
0
09 Aug 2012
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