SDM15 - CP11-1 Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs Presentation: Shuangfei Zhai, State University of New York, Binghamton, USA, 20 min 46 sec
SDM15 - CP11-1 Dropout Training of Matrix Factorization and Autoencoder for Link Prediction in Sparse Graphs (PDF) Document: View PDF Handout
SDM15 - CP11-2 An ADMM Algorithm for Clustering Partially Observed Networks Presentation: Necdet S. Aybat, 25 min 29 sec
SDM15 - CP11-2 An ADMM Algorithm for Clustering Partially Observed Networks (PDF) Document: View PDF Handout
SDM15 - CP11-3 Scaling Log-Linear Analysis to Datasets with 1,000+ Variables Presentation: Francois Petitjean, Monash University, Australia, 21 min 12 sec
SDM15 - CP11-3 Scaling Log-Linear Analysis to Datasets with 1,000+ Variables (PDF) Document: View PDF Handout
SDM15 - CP11-4 A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning Presentation: Alireza Bagheri Garakani, 18 min 39 sec
SDM15 - CP11-4 A Distributed Frank-Wolfe Algorithm for Communication-Efficient Sparse Learning (PDF) Document: View PDF Handout
SDM15 - CP11-5 Exceptional Model Mining with Tree-Constrained Gradient Ascent Presentation: Thomas Krak, 18 min 22 sec
SDM15 - CP11-5 Exceptional Model Mining with Tree-Constrained Gradient Ascent (PDF) Document: View PDF Handout