ICML 2016论文列表 - 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.| 数据学习 (DataLearner)

Parameter-Free Convex Learning through Coin Betting.

TPOT: A Tree-based Pipeline Optimization Tool for Automating Machine Learning.

Towards Automatically-Tuned Neural Networks.

Adapting Multicomponent Predictive Systems using Hybrid Adaptation Strategies with Auto-WEKA in Process Industry.

Bayesian optimization for automated model selection.

Scalable Structure Discovery in Regression using Gaussian Processes.

A brief Review of the ChaLearn AutoML Challenge: Any-time Any-dataset Learning without Human Intervention.

A Strategy for Ranking Optimization Methods using Multiple Criteria.

Effect of Incomplete Meta-dataset on Average Ranking Method.