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
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Paper 12.pdf
(1336k)
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
May 26, 2014, 11:55 AM
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Hugo Larochelle,
May 26, 2014, 11:55 AM
Ċ
Hugo Larochelle,
Jun 5, 2014, 2:46 PM
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