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[1] Yee Whye Teh,et al. Conditional Neural Processes , 2018, ICML.
[2] Luís Torgo,et al. OpenML: networked science in machine learning , 2014, SKDD.
[3] S. Sathiya Keerthi,et al. An Efficient Method for Gradient-Based Adaptation of Hyperparameters in SVM Models , 2006, NIPS.
[4] Prabhat,et al. Scalable Bayesian Optimization Using Deep Neural Networks , 2015, ICML.
[5] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[6] Andrew Y. Ng,et al. Reading Digits in Natural Images with Unsupervised Feature Learning , 2011 .
[7] Qiang Yang,et al. A Survey on Transfer Learning , 2010, IEEE Transactions on Knowledge and Data Engineering.
[8] Frank Hutter,et al. Initializing Bayesian Hyperparameter Optimization via Meta-Learning , 2015, AAAI.
[9] Harris Drucker,et al. Learning algorithms for classification: A comparison on handwritten digit recognition , 1995 .
[10] Lars Schmidt-Thieme,et al. Learning hyperparameter optimization initializations , 2015, 2015 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[11] Yee Whye Teh,et al. Neural Processes , 2018, ArXiv.
[12] Jasper Snoek,et al. Multi-Task Bayesian Optimization , 2013, NIPS.
[13] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[14] Jasper Snoek,et al. Practical Bayesian Optimization of Machine Learning Algorithms , 2012, NIPS.
[15] Yee Whye Teh,et al. Attentive Neural Processes , 2019, ICLR.
[16] Thomas L. Griffiths,et al. Recasting Gradient-Based Meta-Learning as Hierarchical Bayes , 2018, ICLR.
[17] Kevin Leyton-Brown,et al. Sequential Model-Based Optimization for General Algorithm Configuration , 2011, LION.
[18] Matthias W. Seeger,et al. Scalable Hyperparameter Transfer Learning , 2018, NeurIPS.
[19] Donald R. Jones,et al. Efficient Global Optimization of Expensive Black-Box Functions , 1998, J. Glob. Optim..
[20] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[21] Michèle Sebag,et al. Collaborative hyperparameter tuning , 2013, ICML.
[22] Eytan Bakshy,et al. Scalable Meta-Learning for Bayesian Optimization , 2018, ArXiv.
[23] Lars Schmidt-Thieme,et al. Hyperparameter Optimization Machines , 2016, 2016 IEEE International Conference on Data Science and Advanced Analytics (DSAA).
[24] Marius Lindauer,et al. Warmstarting of Model-based Algorithm Configuration , 2017, AAAI.
[25] Lars Schmidt-Thieme,et al. Hyperparameter Optimization with Factorized Multilayer Perceptrons , 2015, ECML/PKDD.
[26] Aaron Klein,et al. Bayesian Optimization with Robust Bayesian Neural Networks , 2016, NIPS.
[27] Gideon S. Mann,et al. Efficient Transfer Learning Method for Automatic Hyperparameter Tuning , 2014, AISTATS.
[28] Lars Schmidt-Thieme,et al. Two-Stage Transfer Surrogate Model for Automatic Hyperparameter Optimization , 2016, ECML/PKDD.
[29] Yoshua Bengio,et al. Algorithms for Hyper-Parameter Optimization , 2011, NIPS.
[30] Yoshua Bengio,et al. Random Search for Hyper-Parameter Optimization , 2012, J. Mach. Learn. Res..
[31] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.