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Invited & Accepted papers

Invited talk
  • Michele Sebag: Stochastic Gradient Descent: Going as Fast as Possible but not Faster
Accepted papers
  • Martin Wistuba: Bayesian Optimization Combined with Successive Halving for Neural Network Architecture Optimization
  • Gust Verbruggen and Luc De Raedt:  Towards Automated Relational Data Wrangling        
  • Fábio Pinto, Vitor Cerqueira, Carlos Soares and João Mendes-Moreira: autoBagging: Learning to Rank Bagging Workflows with Metalearning    
  • Gabriella Contardo, Ludovic Denoyer and Thierry Artieres: A Meta-Learning Approach to One-Step Active-Learning
  • Roxana Istrate, Cristiano Malossi, Costas Bekas and Dimitrios Nikolopoulos: Incremental Training of Deep Convolutional Neural Networks     
  • Pieter Gijsbers, Joaquin Vanschoren and Randal Olson: Layered TPOT  
  • Miguel Cachada, Salisu Abdulrahman and Pavel Brazdil: Combining Feature and Algorithm Hyperparameter Selection using some Metalearning Methods
  • Silvia Nunes Das Dôres, Carlos Soares and Duncan Ruiz:  Effect of Metalearning on Feature Selection Employment
  • Jan N. van Rijn and Frank Hutter: An Empirical Study of Hyperparameter Importance Across Datasets
Late-breaking papers
  • Sergey Muravyov and Andrey Filchenkov: Meta-learning system for automated clustering
  • Alexey Zabashta and Andrey Filchenkov: NDSE: Instance Generation for Classification by Given Meta-Feature Description
Pavel Brazdil,
Sep 12, 2017, 6:19 AM