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Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
28 July 2016
Ilija Ilievski
Taimoor Akhtar
Jiashi Feng
C. Shoemaker
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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
Florian Führer
Andrea Gruber
Holger Diedam
A. Göller
Stephan Menz
S. Schneckener
28
3
0
13 Oct 2023
Landscape-Sketch-Step: An AI/ML-Based Metaheuristic for Surrogate Optimization Problems
Rafael Monteiro
K. Sau
29
1
0
14 Sep 2023
HomOpt: A Homotopy-Based Hyperparameter Optimization Method
Sophia J. Abraham
K. D. G. Maduranga
Jeffery Kinnison
Zachariah Carmichael
Jonathan D. Hauenstein
Walter J. Scheirer
26
1
0
07 Aug 2023
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
M. Fetanat
Michael C. Stevens
P. Jain
C. Hayward
Erik H. W. Meijering
N. Lovell
31
24
0
16 Jan 2023
Adaptive Gradient Methods with Local Guarantees
Zhou Lu
Wenhan Xia
Sanjeev Arora
Elad Hazan
ODL
27
9
0
02 Mar 2022
Advances in Electron Microscopy with Deep Learning
Jeffrey M. Ede
35
2
0
04 Jan 2021
A Study of Checkpointing in Large Scale Training of Deep Neural Networks
Elvis Rojas
A. Kahira
Esteban Meneses
L. Bautista-Gomez
Rosa M. Badia
29
22
0
01 Dec 2020
On tuning deep learning models: a data mining perspective
M. Öztürk
13
0
0
19 Nov 2020
Review: Deep Learning in Electron Microscopy
Jeffrey M. Ede
36
79
0
17 Sep 2020
On Hyperparameter Optimization of Machine Learning Algorithms: Theory and Practice
Li Yang
Abdallah Shami
AI4CE
20
2,032
0
30 Jul 2020
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
Maryam Parsa
Catherine D. Schuman
Prasanna Date
Derek C. Rose
Bill Kay
...
Steven R. Young
Ryan Dellana
William M. Severa
T. Potok
Kaushik Roy
21
4
0
21 Apr 2020
Weighted Random Search for Hyperparameter Optimization
A. Florea
Razvan Andonie
25
48
0
03 Apr 2020
Weighted Random Search for CNN Hyperparameter Optimization
Razvan Andonie
A. Florea
30
55
0
30 Mar 2020
A Simple Heuristic for Bayesian Optimization with A Low Budget
Masahiro Nomura
Kenshi Abe
26
1
0
18 Nov 2019
Surrogate Optimization of Deep Neural Networks for Groundwater Predictions
Juliane Müller
Jangho Park
R. Sahu
C. Varadharajan
B. Arora
B. Faybishenko
D. Agarwal
AI4CE
30
72
0
28 Aug 2019
Reducing The Search Space For Hyperparameter Optimization Using Group Sparsity
Minsu Cho
C. Hegde
19
11
0
24 Apr 2019
Multi-objective Bayesian optimisation with preferences over objectives
Majid Abdolshah
A. Shilton
Santu Rana
Sunil R. Gupta
Svetha Venkatesh
24
47
0
12 Feb 2019
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
H. Rakhshani
L. Idoumghar
Julien Lepagnot
Mathieu Brévilliers
E. Keedwell
18
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
11
0
0
06 Nov 2018
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
Rasool Fakoor
Xiaodong He
I. Tashev
Shuayb Zarar
27
11
0
29 Nov 2017
SHADHO: Massively Scalable Hardware-Aware Distributed Hyperparameter Optimization
Jeffery Kinnison
Nathaniel Kremer-Herman
D. Thain
Walter J. Scheirer
25
11
0
05 Jul 2017
Hyperparameter Optimization: A Spectral Approach
Elad Hazan
Adam R. Klivans
Yang Yuan
27
118
0
02 Jun 2017
Hyperparameter Transfer Learning through Surrogate Alignment for Efficient Deep Neural Network Training
Ilija Ilievski
Jiashi Feng
AAML
18
1
0
31 Jul 2016
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