The winners of Final award 2017 for outstanding paper in the field of Machine Learning are:

  • Ariel Jaffe - Unsupervised Ensemble Learning with Dependent Classifiers
  • David Amar - A hierarchical Bayesian model for flexible module discovery in three-way time-series data
  • Gil Shabat - Randomized LU decomposition
  • Nadav Cohen - Convolutional Rectifier Networks as Generalized Tensor Decompositions
  • Shai Moran - Sample compression for VC classes