AutoML 2015

Enter questions to the panel here

Post-meeting AutoML hackathon

Saturday July 11, Lille, France


What is AutoML?
Machine learning has achieved considerable successes in recent years and an ever-growing number of disciplines rely on it. However, this success crucially relies on human machine learning experts, who select appropriate features, workflows, machine learning paradigms, algorithms, and their hyperparameters. As the complexity of these tasks is often beyond non-experts, the rapid growth of machine learning applications has created a demand for off-the-shelf machine learning methods that can be used easily and without expert knowledge. We call the resulting research area that targets progressive automation of machine learning

Venue: ICML 2015

Invited speakers:
  • Rich Caruana: Open Research Problems in AutoML
  • David Duvenaud: Automatically Constructing Models, and Automatically Explaining them, too
  • Matt Hoffman: Bandits and Bayesian optimization for AutoML
  • Jürgen Schmidhuber: Recursive Self-Improvement
  • Michele Sebag: Algorithm Recommendation as Collaborative Filtering
  • Joaquin Vanschoren: OpenML: A Foundation for Networked & Automatic Machine Learning
  • Frank Hutter (co-chair)
  • Balazs Kégl (co-chair)
  • Isabelle Guyon
  • Hugo Larochelle
  • Evelyne Viegas
ICML 2015 hackathon
ICML 2015 hackathon
ICML 2015 hackathon
ICML 2015 hackathon
Copyright (c) NVIDIA, 2015