Accepted papers

Universal Unsupervised Transfer Learning through Non-negative Matrix Factorization [pdf]
Ievgen Redko, Younès Bennani
Automatic Differentiation of Algorithms for Machine Learning [pdf]
Atilim Gunes Baydin, Barak Pearlmutter
Justification Narratives for Individual Classifications [pdf]
Or Biran, Kathleen McKeown
Sequential Model-Based Ensemble Optimization
Alexandre Lacoste, Hugo Larochelle, Mario Marchand, François Laviolette
Parameter Inference Engine (PIE) on the Pareto Front [pdf]
Ser Nam Lim, Albert Y. C. Cheng, Xingwei Yang
Extrapolating Learning Curves of Deep Neural Networks [pdf]
Tobias Domhan, Tobias Springenberg, Frank Hutter
Cognitive Automation of Data Science [pdf]
Horst Samulowitz, Chandra Reddy, Ashish Sabharwal
Bayesian Optimization with Inequality Constraints
Jacob Gardner, Matthew Kusner, Zhixiang Xu, Kilian Weinberger, John Cunningham
Preliminary Evaluation of Hyperopt Algorithms on HPOLib [pdf]
James Bergstra, Brent Komer, Chris Eliasmith, David Warde-Farley
Automatic Inference for Inverting Software Simulators via Probabilistic Programming [pdf]
Ardavan Saeedi, Vlad Firoiu, Vikash Mansinghka
searchspaces: a Python-based canonical description language for hyperparameter search spaces [pdf]
David Warde-Farley, James Bergstra
Hyperopt-Sklearn: Automatic Hyperparameter Configuration for Scikit-Learn [pdf]
Brent Komer, James Bergstra, Chris Eliasmith