Accepted papers

  • Using Internal Validity Measures to Compare Clustering Algorithms (pdf) (spotlight slides)
    Toon Van Craenendonck, Hendrik Blockeel
  • Redundant Feature Selection using Permutation Methods (pdf) (spotlight slides)
    Phillip Taylor, Nathan Griffiths, Abhir Bhalerao
  • A Linear-Time Particle Gibbs Sampler for Infinite Hidden Markov Models (pdf) (spotlight slides)
    Nilesh Tripuraneni, Shane Gu, Hong Ge, Zoubin Ghahramani
  • Autograd: Effortless Gradients in Pure Numpy (pdf) (spotlight slides)
    Dougal Maclaurin, David Duvenaud, Ryan P. Adams
  • Autonomous learning of parameters in differential equations (pdf) (spotlight slides)
    Adel Mezine, Artémis Llamosi, Veronique Letort, Michèle Sebag, Florence d'Alché-Buc
  • Improving reproducibility of data science experiments (spotlight slides)
    Tatiana Likhomanenko, Alexey Rogozhnikov, Alexander Baranov, Egor Khairullin, Andrey Ustyuzhanin,
  • Introducing Sacred: A Tool to Facilitate Reproducible Research (pdf
    Klaus Greff, Jürgen Schmidhuber
  • DIGITS: the Deep learning GPU Training System (pdf) (spotlight slides)
    Luke Yeager, Julie Bernauer, Allison Gray, Michael Houston
  • Design of the 2015 ChaLearn AutoML Challenge (pdf)
    Isabelle Guyon, Kristin Bennett, Gavin Cawley, Hugo Jair Escalante, Sergio Escalera, Tin Kam Ho
  • Autokit: automatic machine learning via representation and model search (pdf) (spotlight slides)
    Tadej Štajner
  • AutoCompete: A Framework for Machine Learning Competitions (pdf) (spotlight slides)
    Abhishek Thakur, Artus Krohn-Grimberghe
  • Methods for Improving Bayesian Optimization for AutoML (pdf) (spotlight slides)
    Matthias Feurer, Aaron Klein, Katharina Eggensperger, Jost Tobias Springenberg, Manuel Blum, Frank Hutter
  • Active Structure Discovery for Gaussian Processes (pdf) (spotlight slides)
    Gustavo Malkomes, Roman Garnett
  • Fast Cross-Validation for Incremental Learning (pdf) (spotlight slides)
    Pooria Joulani, András György, Csaba Szepesvári
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