AutoML@ICML

Publications

2016

Francesco Orabona, Dávid Pál
Parameter-Free Convex Learning through Coin Betting. AutoML@ICML (2016)
Salisu Mamman Abdulrahman, Pavel Brazdil
Effect of Incomplete Meta-dataset on Average Ranking Method. AutoML@ICML (2016)
Hyunjik Kim, Yee Whye Teh
Scalable Structure Discovery in Regression using Gaussian Processes. AutoML@ICML (2016)
Ian Dewancker, Michael McCourt, Scott Clark, Patrick Hayes, Alexandra Johnson, George Ke
A Strategy for Ranking Optimization Methods using Multiple Criteria. AutoML@ICML (2016)
Manuel Martin Salvador, Marcin Budka, Bogdan Gabrys
Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry. AutoML@ICML (2016)
Gustavo Malkomes, Chip Schaff, Roman Garnett
Bayesian optimization for automated model selection. AutoML@ICML (2016)
Isabelle Guyon, Imad Chaabane, Hugo Jair Escalante, Sergio Escalera, Damir Jajetic, James Robert Lloyd, Núria Macià, Bisakha Ray, Lukasz Romaszko, Michèle Sebag, Alexander R. Statnikov, Sébastien Treguer, Evelyne Viegas
A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention. AutoML@ICML (2016)
Randal S. Olson, Jason H. Moore
TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning. AutoML@ICML (2016)
Hector Mendoza, Aaron Klein, Matthias Feurer, Jost Tobias Springenberg, Frank Hutter
Towards Automatically-Tuned Neural Networks. AutoML@ICML (2016)

volume 64, 2016

Proceedings of the 2016 Workshop on Automatic Machine Learning, AutoML 2016, co-located with 33rd International Conference on Machine Learning (ICML 2016), New York City, NY, USA, June 24, 2016 AutoML@ICML 64 (2016)