Deep Learning
Dr. Yann Lecun, Dr. Marc’Aurelio Ranzato
Discovering Multiple Clustering Solutions: Grouping Objects in Different Views of Data
Dr. Emmanuel Muller, Dr. Stephan Gunnemann, Ines Farber, Prof. Thomas Seidl
Copulas in Machine Learning
Dr. Gal Elidan
Music Information Research Based on Machine Learning
Dr. Masataka Goto and Dr. Kazuyoshi Yoshii
Submodularity in Machine Learning: New Directions
Prof. Andreas Krause, Dr. Stefanie Jegelka
Topological Data Analysis
Dr. Primoz Skraba and Prof. Sayan Mukherjee
Tensor Decomposition Algorithms for Latent Variable Model Estimation
Prof. Anima Anandkumar, Dr. Daniel Hsu, Dr. Sham M. Kakade
Multi-Target Prediction
Dr. Willem Waegeman, Dr. Krzysztof Dembczynski and Prof. Eyke Hullermeier