Readings:

• Thornton, C.; Hutter, F.; Hoos, H. H. & Leyton-Brown, K.
  Auto-WEKA: Combined Selection and Hyperparameter Optimization of Classification Algorithms
  Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, ACM, 2013, 847-855
• Bardenet, R.; Brendel, M. & Sebag, B. K. M.
  Dasgupta, S. & Mcallester, D. (Eds.)
  Collaborative hyperparameter tuning
  Proceedings of the 30th International Conference on Machine Learning (ICML-13), JMLR Workshop and Conference Proceedings, 2013, 28, 199-207
• Bergstra, J. S.; Bardenet, R.; Bengio, Y. & Kégl, B.
  Shawe-Taylor, J.; Zemel, R.; Bartlett, P.; Pereira, F. & Weinberger, K. (Eds.)
  Algorithms for Hyper-Parameter Optimization
  Advances in Neural Information Processing Systems 24, Curran Associates, Inc., 2011, 2546-2554
• Hutter, F.; Hoos, H. H. & Leyton-Brown, K.
  Sequential Model-based Optimization for General Algorithm Configuration
  Proceedings of the 5th International Conference on Learning and Intelligent Optimization, Springer-Verlag, 2011, 507-523
• Snoek, J.; Larochelle, H. & Adams, R. P.
  Pereira, F.; Burges, C.; Bottou, L. & Weinberger, K. (Eds.)
  Practical Bayesian Optimization of Machine Learning Algorithms Advances
  Neural Information Processing Systems 25, Curran Associates, Inc., 2012, 2951-2959
• Yogatama, D. & Mann, G.
  Efficient Transfer Learning Method for Automatic Hyperparameter Tuning
  International Conference on Artificial Intelligence and Statistics (AISTATS 2014), 2014