暂无分享,去创建一个
[1] Tianqi Chen,et al. XGBoost: A Scalable Tree Boosting System , 2016, KDD.
[2] Svetha Venkatesh,et al. Batch Bayesian optimization using multi-scale search , 2020, Knowl. Based Syst..
[3] Kirthevasan Kandasamy,et al. Neural Architecture Search with Bayesian Optimisation and Optimal Transport , 2018, NeurIPS.
[4] Donald F. Specht,et al. A general regression neural network , 1991, IEEE Trans. Neural Networks.
[5] Gaofeng Meng,et al. RENAS: Reinforced Evolutionary Neural Architecture Search , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Andranik S. Akopov,et al. Parallel multi-agent real-coded genetic algorithm for large-scale black-box single-objective optimisation , 2019, Knowl. Based Syst..
[7] Kevin Leyton-Brown,et al. Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.
[8] Yong Wang,et al. Global and Local Surrogate-Assisted Differential Evolution for Expensive Constrained Optimization Problems With Inequality Constraints , 2019, IEEE Transactions on Cybernetics.
[9] Andreas Krause,et al. Efficient High Dimensional Bayesian Optimization with Additivity and Quadrature Fourier Features , 2018, NeurIPS.
[10] Xingsheng Gu,et al. Improved particle swarm optimization algorithm based novel encoding and decoding schemes for flexible job shop scheduling problem , 2020, Comput. Oper. Res..
[11] Nando de Freitas,et al. Taking the Human Out of the Loop: A Review of Bayesian Optimization , 2016, Proceedings of the IEEE.
[12] Goldberg,et al. Genetic algorithms , 1993, Robust Control Systems with Genetic Algorithms.
[13] David D. Cox,et al. Making a Science of Model Search: Hyperparameter Optimization in Hundreds of Dimensions for Vision Architectures , 2013, ICML.
[14] Kevin Leyton-Brown,et al. Auto-WEKA: combined selection and hyperparameter optimization of classification algorithms , 2012, KDD.
[15] Ang Li,et al. A Generalized Framework for Population Based Training , 2019, KDD.
[16] Ameet Talwalkar,et al. Hyperband: Bandit-Based Configuration Evaluation for Hyperparameter Optimization , 2016, ICLR.
[17] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[18] Frank Hutter,et al. Initializing Bayesian Hyperparameter Optimization via Meta-Learning , 2015, AAAI.
[19] Jiaxu Cui,et al. Deep Neural Architecture Search with Deep Graph Bayesian Optimization , 2019, 2019 IEEE/WIC/ACM International Conference on Web Intelligence (WI).
[20] Aaron Klein,et al. Bayesian Optimization with Robust Bayesian Neural Networks , 2016, NIPS.
[21] Zhitao Liu,et al. A Fast Grid Search Method in Support Vector Regression Forecasting Time Series , 2006, IDEAL.
[22] Max Welling,et al. BOCK : Bayesian Optimization with Cylindrical Kernels , 2018, ICML.
[23] Youngjun Yoo,et al. Hyperparameter optimization of deep neural network using univariate dynamic encoding algorithm for searches , 2019, Knowl. Based Syst..
[24] Kenneth O. Stanley,et al. Deep Neuroevolution: Genetic Algorithms Are a Competitive Alternative for Training Deep Neural Networks for Reinforcement Learning , 2017, ArXiv.
[25] Yan Xu,et al. Autotune: A Derivative-free Optimization Framework for Hyperparameter Tuning , 2018, KDD.
[26] Thomas Stützle,et al. Automatic Algorithm Configuration Based on Local Search , 2007, AAAI.
[27] Wei Pan,et al. BayesNAS: A Bayesian Approach for Neural Architecture Search , 2019, ICML.
[28] V. S. Shankar Sriram,et al. An efficient intrusion detection system based on hypergraph - Genetic algorithm for parameter optimization and feature selection in support vector machine , 2017, Knowl. Based Syst..
[29] D. Sculley,et al. Google Vizier: A Service for Black-Box Optimization , 2017, KDD.
[30] Aaron Klein,et al. Towards Automatically-Tuned Neural Networks , 2016, AutoML@ICML.
[31] Indrajit N. Trivedi,et al. Optimization of problems with multiple objectives using the multi-verse optimization algorithm , 2017, Knowl. Based Syst..
[32] Bin Xu,et al. An Improved Particle Swarm Optimization with Biogeography-Based Learning Strategy for Economic Dispatch Problems , 2018, Complex..
[33] Xia Li,et al. A dynamic surrogate-assisted evolutionary algorithm framework for expensive structural optimization , 2020 .
[34] Karol R. Opara,et al. Differential Evolution: A survey of theoretical analyses , 2019, Swarm Evol. Comput..
[35] David E. Goldberg,et al. Genetic Algorithms in Search Optimization and Machine Learning , 1988 .
[36] Fabrizio Maria Maggi,et al. Genetic algorithms for hyperparameter optimization in predictive business process monitoring , 2018, Inf. Syst..
[37] Leo Breiman,et al. Random Forests , 2001, Machine Learning.
[38] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[39] Lars Schmidt-Thieme,et al. Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization , 2016, ECML/PKDD.