Technical Program

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