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Efficient Hyperparameter Optimization of Deep Learning Algorithms Using
  Deterministic RBF Surrogates

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates

28 July 2016
Ilija Ilievski
Taimoor Akhtar
Jiashi Feng
C. Shoemaker
ArXivPDFHTML

Papers citing "Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates"

27 / 27 papers shown
Title
A Deep Neural Network -- Mechanistic Hybrid Model to Predict
  Pharmacokinetics in Rat
A Deep Neural Network -- Mechanistic Hybrid Model to Predict Pharmacokinetics in Rat
Florian Führer
Andrea Gruber
Holger Diedam
A. Göller
Stephan Menz
S. Schneckener
20
3
0
13 Oct 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate
  Optimization Problems
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems
Rafael Monteiro
K. Sau
24
1
0
14 Sep 2023
HomOpt: A Homotopy-Based Hyperparameter Optimization Method
HomOpt: A Homotopy-Based Hyperparameter Optimization Method
Sophia J. Abraham
K. D. G. Maduranga
Jeffery Kinnison
Zachariah Carmichael
Jonathan D. Hauenstein
Walter J. Scheirer
23
1
0
07 Aug 2023
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for
  Hyperparameter Optimization in Deep Convolutional Neural Network
A Surrogate-Assisted Highly Cooperative Coevolutionary Algorithm for Hyperparameter Optimization in Deep Convolutional Neural Network
An Chen
Zhigang Ren
Muyi Wang
Hui Chen
Haoxi Leng
Shuai Liu
28
2
0
25 Feb 2023
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network
  Optimized by an Improved Harris Hawks Algorithm for Classification of
  Pulmonary Arterial Wedge Pressure
Fully Elman Neural Network: A Novel Deep Recurrent Neural Network Optimized by an Improved Harris Hawks Algorithm for Classification of Pulmonary Arterial Wedge Pressure
M. Fetanat
Michael C. Stevens
P. Jain
C. Hayward
Erik H. W. Meijering
N. Lovell
20
24
0
16 Jan 2023
Adaptive Gradient Methods with Local Guarantees
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
19
9
0
02 Mar 2022
Advances in Electron Microscopy with Deep Learning
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
32
2
0
04 Jan 2021
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
Elvis Rojas
A. Kahira
Esteban Meneses
L. Bautista-Gomez
Rosa M. Badia
21
22
0
01 Dec 2020
On tuning deep learning models: a data mining perspective
On tuning deep learning models: a data mining perspective
M. Öztürk
11
0
0
19 Nov 2020
Review: Deep Learning in Electron Microscopy
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
31
79
0
17 Sep 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory
  and Practice
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
13
2,029
0
30 Jul 2020
Hyperparameter Optimization in Neural Networks via Structured Sparse
  Recovery
Hyperparameter Optimization in Neural Networks via Structured Sparse Recovery
Minsu Cho
Mohammadreza Soltani
C. Hegde
14
1
0
07 Jul 2020
Hyperparameter Optimization in Binary Communication Networks for
  Neuromorphic Deployment
Hyperparameter Optimization in Binary Communication Networks for Neuromorphic Deployment
Maryam Parsa
Catherine D. Schuman
Prasanna Date
Derek C. Rose
Bill Kay
...
Steven R. Young
Ryan Dellana
William M. Severa
T. Potok
Kaushik Roy
18
4
0
21 Apr 2020
Weighted Random Search for Hyperparameter Optimization
Weighted Random Search for Hyperparameter Optimization
A. Florea
Razvan Andonie
12
48
0
03 Apr 2020
Weighted Random Search for CNN Hyperparameter Optimization
Weighted Random Search for CNN Hyperparameter Optimization
Razvan Andonie
A. Florea
17
55
0
30 Mar 2020
A Simple Heuristic for Bayesian Optimization with A Low Budget
A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura
Kenshi Abe
16
1
0
18 Nov 2019
Surrogate Optimization of Deep Neural Networks for Groundwater
  Predictions
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Juliane Müller
Jangho Park
R. Sahu
C. Varadharajan
B. Arora
B. Faybishenko
D. Agarwal
AI4CE
25
71
0
28 Aug 2019
Reducing The Search Space For Hyperparameter Optimization Using Group
  Sparsity
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
Minsu Cho
C. Hegde
6
11
0
24 Apr 2019
Multi-objective Bayesian optimisation with preferences over objectives
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah
A. Shilton
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
14
47
0
12 Feb 2019
Multi-level CNN for lung nodule classification with Gaussian Process
  assisted hyperparameter optimization
Multi-level CNN for lung nodule classification with Gaussian Process assisted hyperparameter optimization
Miao Zhang
Huiqi Li
Juan Lyu
S. Ling
Steven W. Su
AI4CE
17
11
0
02 Jan 2019
Automatic hyperparameter selection in Autodock
Automatic hyperparameter selection in Autodock
H. Rakhshani
L. Idoumghar
Julien Lepagnot
Mathieu Brévilliers
E. Keedwell
11
1
0
02 Dec 2018
Fast Hyperparameter Optimization of Deep Neural Networks via Ensembling Multiple Surrogates
Yang Li
Jiawei Jiang
Yingxia Shao
Bin Cui
AI4CE
6
0
0
06 Nov 2018
Characterizing the hyper-parameter space of LSTM language models for
  mixed context applications
Characterizing the hyper-parameter space of LSTM language models for mixed context applications
Victor Akinwande
S. Remy
21
1
0
08 Dec 2017
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous
  Input Signal Quality
Reinforcement Learning To Adapt Speech Enhancement to Instantaneous Input Signal Quality
Rasool Fakoor
Xiaodong He
I. Tashev
Shuayb Zarar
16
11
0
29 Nov 2017
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter
  Optimization
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Jeffery Kinnison
Nathaniel Kremer-Herman
D. Thain
Walter J. Scheirer
6
11
0
05 Jul 2017
Hyperparameter Optimization: A Spectral Approach
Hyperparameter Optimization: A Spectral Approach
Elad Hazan
Adam R. Klivans
Yang Yuan
25
118
0
02 Jun 2017
Hyperparameter Transfer Learning through Surrogate Alignment for
  Efficient Deep Neural Network Training
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Ilija Ilievski
Jiashi Feng
AAML
11
1
0
31 Jul 2016
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