Statistical Inference in Complex Network Data |
Session Type: Lecture |
Time: Tuesday, June 4, 16:20 - 18:00 |
Location: Lecture Room 2 |
Session Chairs: Yuguo Chen, University of Illinois, Urbana-Champaign and Subhadeep Paul, Ohio State University |
Paper #1: MEAN FIELD FOR THE STOCHASTIC BLOCKMODEL: OPTIMIZATION LANDSCAPE AND CONVERGENCE ISSUES |
Soumendu Sundar Mukherjee; University of Texas at Austin |
Purnamrita Sarkar; University of Texas at Austin |
Y. X. Rachel Wang; University of Texas at Austin |
Bowei Yan; University of Texas at Austin |
Paper #2: HIGHER-ORDER SPECTRAL CLUSTERING AND THE SUPERIMPOSED STOCHASTIC BLOCK MODEL |
Subhadeep Paul; Ohio State University |
Olgica Milenkovic; University of Illinois, Urbana-Champaign |
Yuguo Chen; University of Illinois, Urbana-Champaign |
Paper #3: ADDITIVE AND MULTIPLICATIVE EFFECTS NETWORK MODELS |
Peter Hoff; Duke University |
Paper #4: GLOBAL SPECTRAL CLUSTERING FOR DYNAMIC NETWORKS |
Fuchen Liu; Carnegie Mellon University |
David Choi; Carnegie Mellon University |
Kathryn Roeder; Carnegie Mellon University |
Paper #5: NETWORK CROSS-VALIDATION BY EDGE SAMPLING |
Tianxi Li; University of Michigan |
Elizaveta Levina; University of Michigan |
Ji Zhu; University of Michigan |