2-Day Workshop - Introduction to Data Science in Python

Liste des contributions

5. 1st Poster Session

8. 2nd Poster Session

10. AutoML Challenge

Marc Boulle (Orange)

3. Invited Talk: Algorithm Recommendation as Collaborative Filtering

Michele Sebag (CNRS)

7. Invited Talk: Automatically constructing models, and automatically explaining them, too.

David Duvenaud (Harvard University)

How could an artificial intelligence do statistics? It would need an open-ended language of models, and a way to search through and compare those models. Even better would be a system that could explain the different types of structure found, even if that type of structure had never been seen before. This talk presents a prototype of such a system, which builds structured Gaussian processes...

1. Invited Talk: Bandits and Bayesian optimization for AutoML

Matthew Hoffmann (University of Cambridge)

Complex optimization and decision making tasks are beginning to play an increasingly crucial role across a wide variety of scientific fields. This is becoming more and more evident as entire research programs are being automated. In this talk I'll describe a set of methods, known as Bayesian optimization, which provide a very sample efficient approach to this problem. Much of the gains...

0. Invited Talk: Open Research Problems in AutoML

9. Invited Talk: OpenML: A Foundation for Networked & Automatic Machine Learning

Joaquin Vanschoren (Eindhoven University of Technology)

OpenML is an online machine learning platform where scientists can automatically log and share data sets, code, and experiments, organize them online, and collaborate with researchers all over the world. It helps to automate many tedious aspects of research, is readily integrated into several machine learning tools, and offers easy-to-use APIs. It also enables large-scale and real-time...

11. Panel Discussion: Next steps for AutoML

Panelists: Marc Boulle, Rich Caruana, David Duvenaud, Matthew Hoffmann, Juergen Schmidhuber, Michèle Sebag, Joaquin Vanschoren.

2. Poster Spotlights 1

5 spotlights of 2 minutes each

4. Poster spotlights 2

9 spotlights of 2 minutes each

6. X

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