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Matteus Tanha, Tse-Han Huang, Geoffrey J. Gordon and David J. Yaron, Imitation Learning for Accelerating Iterative Computation of Fixed Points Matisse
Mykola Pechenizkiy, Eindhoven University of Technology, Grand challenges in Educational Data Mining CdG
Mausam, Intelligent Control meets Crowdsourcing Faidherbe
Javier Gonzalez: Bayesian optimization for synthetic gene design Rubens
Andreas Krause Van Gogh
Yann Ollivier, Paris-Sud University Vauban
Kveton Branislav, Learning to Act Greedily: Matroid and Polymatroid Bandits Artois
Jason Weston, Hashtags, Clicks and Likes: Supervision for Content-based Posts Pasteur
Florence d'Alche-Buc, Learning operator-valued kernels in multiple output regression Turin
Morten Morup JdF 1
Spotlights JdF 2
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Alexander Loktyushin, Retrospective motion correction of magnitude-input MR images JdF 2
Efficient Real-Time Pixelwise Object Class Labeling for Safe Human-Robot Collaboration in Industrial Domain, Vivek Sharma, Frank Dittrich, Sule Yildirim-Yayilgan and Luc Van Gool Rubens
Orly Avner and Shie Mannor, Learning to coordinate without communication in multi-user multi-armed bandit problems Matisse
Joelle Pineau, Analyzing Open Data from the City of Montreal Faidherbe
Philippe Hamel, Google, To Have a Tiger by the Tail: Improving Music Recommendation for International Users JdF 1
Michele Sebag (CNRS), Algorithm Recommendation as Collaborative Filtering Van Gogh
Nicolas Chapados (ApSTAT Technologies) Artois
Sara Hajian Discrimination- and Privacy-Aware Data Mining CdG
Roland Memisevic, University of Montreal Vauban
Marius Kloft, Large-scale Multi-Task and Multiple Kernel Learning Pasteur
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Cedric Mesnage, University of Bristol, Trend Extraction on Twitter Time Series for Music Discovery JdF 1
Fernando Diaz, Sorelle Friedler, Mykola Pechenizkiy, Hanna Wallach, and Suresh Venkatasubramanian (Moderator) A Closing Panel Discussion CdG
Joaquin Vanschoren (Eindhoven Univ. of Tech.), OpenML: A Foundation for Networked & Automatic Machine Learning Van Gogh
Gilles Stoltz (CNRS) Artois
Rich Caruana (tentative) Turin
Marleen de Bruijne, Erasmus Medical Center & DIKU Copenhagen JdF 2
Sharad Mehrotra, Towards 'on the fly' data cleaning Faidherbe
Ashutosh Saxena and Ashesh Jain, RoboBrain Knowledge Engine: Learning from Weak Human Signals Rubens
Panel Discussion (topic: Future of Deep Learning) Vauban
poster session continues Pasteur
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