Year  Title  Author 
2017

A deep learningbased operation optimization strategy for BFG/coal cofiring boiler 
JG Wang, JQ Min, LL Liu, BH Yang, SW Ma, MR Fei

2017

Topology And Geometry Of HalfRectified NetWork Optimization 
CD Freeman, J Bruna

2017

Accelerated Bayesian Optimization For Deep Learning 
A Niimi, K Sakamoto

2017

Performance analysis and optimization of permanent magnet synchronous motor based on deep learning 
L Jin, F Wang, Q Yang

2017

Blockdiagonal Hessianfree Optimization for Training Neural Networks 
H Zhang, C Xiong, J Bradbury, R Socher

2017

Optimization of realtime traffic network assignment based on IoT data using DBN and clustering model in smart city 
J Yang, Y Han, Y Wang, B Jiang, Z Lv, H Song

2017

Deep Neural Network Hyperparameter Optimization with Genetic Algorithms 
A Vose, J Balma, G Wenes, R Sukumar

2017

Creating Roadmaps in Aerial Images With Generative Adversarial Networks and SmoothingBased Optimization 
D Costea, A Marcu, E Slusanschi, M Leordeanu

2017

Distance Metric Optimization Driven Convolutional Neural Network for Age Invariant Face Recognition 
Y Li, G Wang, L Nie, Q Wang, W Tan

2017

A review on optimization algorithm for deep learning method in bioinformatics field 
SNM Yousoff, A Baharin, A Abdullah

2017

Deep Learning for Explicitly Modeling Optimization Landscapes 
S Baluja

2017

Visualization of maximizing images with deconvolutional optimization method for neurons in deep neural networks 
D Nekhaev, V Demin

2017

Structure Learning for Deep Neural Networks Based on Multiobjective Optimization 
J Liu, M Gong, Q Miao, X Wang, H Li

2017

A Biobjective Genetic Algorithm Optimization of ChaosDNA Based Hybrid Approach 
S Suri, R Vijay

2017

Discriminative Deep Belief Networks with Ant Colony Optimization for Health Status Assessment of Machine 
M Ma, C Sun, X Chen

2017

Towards Poisoning of Deep Learning Algorithms with Backgradient Optimization 
L Muñoz

2017

Adversarial Variational Optimization of NonDifferentiable Simulators 
G Louppe, K Cranmer

2017

Plant Identification Using Deep Neural Networks via Optimization of Transfer Learning Parameters 
MM Ghazi, B Yanikoglu, E Aptoula

2017

Pretraining the Deep Generative Models with Adaptive Hyperparameter Optimization 
C Yao, D Cai, J Bu, G Chen

2017

Using Particle Swarm Optimization to Accurately Identify Syntactic Phrases in Free Text 
G Tambouratzis

2017

Optimization space pruning without regrets 
U Beaugnon, A Pouille, M Pouzet, J Pienaar, A Cohen

2017

Analysis and Optimization of fastText Linear Text Classifier 
V Zolotov, D Kung

2017

Ligand Pose Optimization with Atomic GridBased Convolutional Neural Networks 
M Ragoza, L Turner, DR Koes

2017

Secondorder Optimization in Deep Reinforcement Learning using Kroneckerfactored Approximation 
Y Wu, E Mansimov, RB Grosse, S Liao, J Ba

2017

PanicleSEG: a robust image segmentation method for rice panicles in the field based on deep learning and superpixel optimization 
X Xiong, L Duan, L Liu, H Tu, P Yang, D Wu, G Chen

2017

Training Deep Neural Networks via Optimization Over Graphs 
G Zhang, WB Kleijn

2017

Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates 
I Ilievski, T Akhtar, J Feng, CA Shoemaker

2017

Experiments With Scalable Gradientbased Hyperparameter Optimization for Deep Neural Networks 
MS Jules

2017

FinePruning: Joint FineTuning and Compression of a Convolutional Network with Bayesian Optimization 
F Tung, S Muralidharan, G Mori

2017

A Novel Method for Edge Detection in Images Based on Particle Swarm Optimization 
CB Sherin, L Mredhula

2017

Optimization of Deep Learning Algorithms for Object Classification 
A Horváth

2017

Feature Tracking Cardiac Magnetic Resonance via Deep Learning and Spline Optimization 
DM Vigneault, W Xie, DA Bluemke, JA Noble

2017

The optimization of wind power interval forecast 
X Yu, H Zang

2017

Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization 
Y Li, X Bai, X Liang, L Jiao

2017

Towards Scalable GradientBased Hyperparameter Optimization In Deep Neural Networks 
FU JIE

2017

Optimization of DBN using Regularization Methods Applied for Recognizing Arabic Handwritten Script 
M Elleuch, N Tagougui, M Kherallah

2017

Risk Scoring Classification Performance Optimization 
K Kerwin

2017

Neural networks for topology optimization 
I Sosnovik, I Oseledets

2017

mlrMBO: A Modular Framework for ModelBased Optimization of Expensive BlackBox Functions 
B Bischl, J Richter, J Bossek, D Horn, J Thomas

2017

Geometry of Optimization and Implicit Regularization in Deep Learning 
B Neyshabur, R Tomioka, R Salakhutdinov, N Srebro

2017

Optimization Methods for Supervised Machine Learning: From Linear Models to Deep Learning 
FE Curtis, K Scheinberg

2017

Deep Learning as a Mixed ConvexCombinatorial Optimization Problem 
AL Friesen, P Domingos

2017

An optimization method for speech enhancement based on deep neural network 
H Sun, S Li

2017

Improving optimization of convolutional neural networks through parameter finetuning 
N Becherer, J Pecarina, S Nykl, K Hopkinson

2017

Machine Learning, deep learning and optimization in computer vision 
S Canu

2017

MultiObjective Optimization of Hybrid Renewable Energy System with Load Forecasting 
M Ming, R Wang, Y Zha, T Zhang

2016

SEBOOSTBoosting Stochastic Learning Using Subspace Optimization Techniques 
E Richardson, R Herskovitz, B Ginsburg, M Zibulevsky

2016

Large Scale Distributed HessianFree Optimization for Deep Neural Network 
X He, D Mudigere, M Smelyanskiy, M Takáč

2016

Poster: Deep Learning Enabled M2M Gateway for Network Optimization 
S Subramanian, A Banerjee

2016

On CPU Performance Optimization of Restricted Boltzmann Machine and Convolutional RBM 
B Wicht, A Fischer, J Hennebert

2016

Grammars for Games: A GradientBased Framework for Optimization in Deep Learning 
D Balduzzi

2016

Hyperparameter Optimization of Deep Neural Networks Using NonProbabilistic RBF Surrogate Model 
I Ilievski, T Akhtar, J Feng, CA Shoemaker

2016

Memristive Boltzmann Machine: A Hardware Accelerator for Combinatorial Optimization and Deep Learning 
MN Bojnordi, E Ipek

2016

MOON: A Mixed Objective Optimization Network for the Recognition of Facial Attributes 
E Rudd, M Günther, T Boult

2016

Neural networks designing neural networks: multiobjective hyperparameter optimization 
SC Smithson, G Yang, WJ Gross, BH Meyer

2016

Granular computing: from granularity optimization to multigranularity joint problem solving 
G Wang, J Yang, J Xu

2016

SelfAdaptive Parameters Optimization for Incremental Classification in Big Data Using Neural Network 
S Fong, C Fang, N Tian, R Wong, BW Yap

2016

Simple Evolutionary Optimization Can Rival Stochastic Gradient Descent in Neural Networks 
G Morse, KO Stanley

2016

Unsupervised Category Discovery via Looped Deep PseudoTask Optimization Using a Large Scale Radiology Image Database 
X Wang, L Lu, H Shin, L Kim, I Nogues, J Yao

2016

EnsembleAverage Representation of Pt clusters in Conditions of Catalysis Accessed through GPU Accelerated Deep Neural Network Fitting Global Optimization 
H Zhai, AN Alexandrova

2016

Evolutionary Markov Chains, Potential Games And Optimization Under The Lens Of Dynamical Systems 
I Panageas

2016

Rateenergyaccuracy optimization of convolutional architectures for face recognition 
L Bondi, L Baroffio, M Cesana, M Tagliasacchi

2016

Optimization of decentralized renewable energy system by weather forecasting and deep machine learning techniques 
T Sogabe, H Ichikawa, K Sakamoto, K Yamaguchi

2016

To the special Issue on “Metaheuristics for optimization of complex process engineering” 
J Ding, Y Jin

2016

Optimization of Convolutional Neural Network using Microcanonical Annealing Algorithm 
V Ayumi, LM Rere, MI Fanany, AM Arymurthy

2016

Application specific performance measure optimization using deep learning 
MA Rahman

2016

A Taylor polynomial expansion line search for largescale optimization 
M Hynes

2016

Surface approximation via sparse representation and parameterization optimization 
L Xu, R Wang, Z Yang, J Deng, F Chen, L Liu

2016

Distributed stochastic optimization for deep learning 
S Zhang

2016

Distributed stochastic optimization for deep learning (thesis) 
S Zhang

2016

On Deep MultiView Representation Learning: Objectives and Optimization 
W Wang, R Arora, K Livescu, J Bilmes

2016

PLATO: Policy Learning using Adaptive Trajectory Optimization 
G Kahn, T Zhang, S Levine, P Abbeel

2016

Particle Swarm Optimization (Pso) For Training Optimization On Convolutional Neural Network (Cnn) 
A Rachmad, DMJ Purnomo, MF Rachmadi, A Wibowo

2016

Big datadriven optimization for mobile networks toward 5G 
K Zheng, Z Yang, K Zhang, P Chatzimisios, K Yang

2016

Understanding Innovation Engines: Automated Creativity and Improved Stochastic Optimization via Deep Learning 
A Nguyen, J Yosinski, J Clune

2016

Quantum gradient descent and Newton's method for constrained polynomial optimization 
P Rebentrost, M Schuld, F Petruccione, S Lloyd

2016

Simple2Complex: Global Optimization by Gradient Descent 
M Li

2016

Heterogeneous Visual Features Integration for Image Recognition Optimization in Internet of Things 
F Zhong, Z Chen, Z Ning, G Min, Y Hu

2016

Multilayer perceptron training with multiobjective memetic optimization 
P Nieminen

2016

A hybrid forecasting approach applied in the electrical power system based on data preprocessing, optimization and artificial intelligence algorithms 
P Jiang, X Ma

2015

Speeding up Automatic Hyperparameter Optimization of Deep Neural Networks by Extrapolation of Learning Curves 
T Domhan, JT Springenberg, F Hutter

2015

Innovation engines: Automated creativity and improved stochastic optimization via deep learning 
A Nguyen, J Yosinski, J Clune

2015

Deep Online Convex Optimization by Putting Forecaster to Sleep 
D Balduzzi

2015

Measuring and Understanding Sensory Representations within Deep Networks Using a Numerical Optimization Framework 
CY Tsai, DD Cox

2015

Joint Optimization of Masks and Deep Recurrent Neural Networks for Monaural Source Separation 
PS Huang, M Kim, M Hasegawa

2015

RMSProp and equilibrated adaptive learning rates for nonconvex optimization 
YN Dauphin, H de Vries, J Chung, Y Bengio

2015

Improving Object Detection with Deep Convolutional Networks via Bayesian Optimization and Structured Prediction 
Y Zhang, K Sohn, R Villegas, G Pan, H Lee

2015

PathSGD: PathNormalized Optimization in Deep Neural Networks 
B Neyshabur, R Salakhutdinov, N Srebro

2015

Systems And Methods For Combining Stochastic Average Gradient And HessianFree Optimization For Sequence Training Of Deep … 
P Dognin, V Goel

2015

Large Scale Optimization for Machine Learning 
H Wang

2015

Symmetryinvariant optimization in deep networks 
V Badrinarayanan, B Mishra, R Cipolla

2015

Microscopic Advances with LargeScale Learning: Stochastic Optimization for CryoEM 
A Punjani, MA Brubaker

2015

Trust Region Policy Optimization 
J Schulman, S Levine, P Moritz, MI Jordan, P Abbeel

2015

Scalable Bayesian Optimization Using Deep Neural Networks 
J Snoek, O Rippel, K Swersky, R Kiros, N Satish

2015

The Synergistic Combination of Particle Swarm Optimization and Fuzzy Sets to Design Granular Classifier 
S Salehi, A Selamat, R Masinchi, H Fujita

2015

Achieving Consistent NearOptimal Pattern Recognition Accuracy Using Particle Swarm Optimization to PreTrain Artificial Neural Networks 
DO Nikelshpur

2015

Methods And Systems Of MultiDimensional Automated RideSharing Optimization 
A Rostamian, J KU

2015

apsisFramework for Automated Optimization of Machine Learning Hyper Parameters 
F Diehl, A Jauch

2015

Denoising Autoencoders for fast Combinatorial Black Box Optimization 
M Probst

2015

On Graduated Optimization for Stochastic NonConvex Problems 
E Hazan, KY Levy, S Shalev

2015

Gradientbased Hyperparameter Optimization through Reversible Learning 
D Maclaurin, D Duvenaud, RP Adams

2015

InterTile Reuse Optimization Applied to Bandwidth Constrained Embedded Accelerators 
M Peemen, B Mesman, H Corporaal

2015

Research on Modification and Optimization of Network Topology and Internet Security based on Neural Network Structure and Mathematical Optimization 
G Zhao, J Song, W Chen, W Jie, EK Lee, KY Lee, Z Xu

2015

Deep Boltzmann Machines in Estimation of Distribution Algorithms for Combinatorial Optimization 
M Probst, F Rothlauf

2015

Perturbed Iterate Analysis for Asynchronous Stochastic Optimization 
H Mania, X Pan, D Papailiopoulos, B Recht

2015

Large Scale Optimization with Proximal Stochastic NewtonType Gradient Descent 
Z Shi, R Liu

2015

Asynchronous Parallel Stochastic Gradient for Nonconvex Optimization 
X Lian, Y Huang, Y Li, J Liu

2015

Universality in halting time and its applications in optimization 
L Sagun, T Trogdon, Y LeCun

2015

Big Data Driven Optimization for Mobile Networks towards 5G 
K Zheng, Z Yang, K Zhang, P Chatzimisios

2015

Learning Hyperparameter Optimization Initializations 
M Wistuba

2015

User Modeling And Personalized Optimization For StakeholderDriven Watershed Design 
S Mukhopadhyay, VB Singh, AD Piemonti

2015

Robust Optimization for Deep Regression 
V Belagiannis, C Rupprecht, G Carneiro, N Navab

2015

Computational Intelligence and Optimization for Transportation Big Data: Challenges and Opportunities 
EI Vlahogianni

2015

The Optimization of Parallel DBN Based on Spark 
J Yang, S He

2015

Equilibrated adaptive learning rates for nonconvex optimization 
Y Dauphin, H de Vries, Y Bengio

2015

Optimization Approach to Depot Location in Car Sharing Systems with Big Data 
X Zhu, J Li, Z Liu, F Yang

2015

Distribution of parameter calculation for iterative optimization methods 
R Monga, X Wu, AY Ng

2015

Beyond Convexity: Stochastic QuasiConvex Optimization 
E Hazan, KY Levy, S Shalev

2015

Rolling bearing fault diagnosis using an optimization deep belief network 
H Shao, H Jiang, X Zhang, M Niu

2015

Fast largescale optimization by unifying stochastic gradient and quasiNewton methods 
B Poole, S EDU

2014

Distributed Asynchronous Optimization of Convolutional Neural Networks 
W Chan, I Lane, S Gradients, M Momentum, G Decay

2014

Investigation of stochastic HessianFree optimization in Deep neural networks for speech recognition 
Z You, B Xu

2014

LMCMAES: an alternative to LBFGS for largescale blackbox optimization 
I Loshchilov

2014

Query Optimization in Heterogeneous CPU/GPU Environment for Time Series Databases 
P Przymus

2014

A Theoretical Analysis of Optimization by Gaussian Continuation 
H Mobahi, JW Fisher III

2014

User modeling and optimization for environmental planning system design 
VB Singh

2014

System For Optimization Of Group Interaction 
D Bain

2014

Scalability of using Restricted Boltzmann Machines for Combinatorial Optimization 
M Probst, F Rothlauf, J Grahl

2014

Dynamic realtime substrate feed optimization of anaerobic codigestion plants 
D Gaida

2014

Joint optimization of algorithmic suites for EEG analysis 
E Santana, AJ Brockmeier, JC Principe

2014

Supplementary Material: Attacking the saddle point problem in highdimensional nonconvex optimization 
YN Dauphin, R Pascanu, C Gulcehre, K Cho

2014

An Optimization of Deep Neural Networks in ASR using Singular Value Decomposition 
I Tseyzer

2014

Sparse Representations, Numerical Linear Algebra, and Optimization 
G Kutyniok, M Saunders, S Wright, O Yilmaz

2014

Convolutional Neural Network and Convex Optimization 
S Chen, Y Wang
