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Courses in summer term 2014 / Master-Seminar: Meta-Learning
Readings

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