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  1. Courses
  2. 2015 SIAM International Con...
  3. Optimization

Optimization

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
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