SPTM-24.6
DEEP INITIALIZATION FOR GUARANTEED UNIMODULAR QUADRATIC PROGRAMMING
Amrutha Varshini Ramesh, University of British Columbia, Canada; Mojtaba Soltanalian, University of Illinois at Chicago, United States of America
Session:
NMF, Divergences and Optimization
Track:
Signal Processing Theory and Methods
Location:
Gather Area M
Presentation Time:
Fri, 13 May, 23:00 - 23:45 China Time (UTC +8)
Fri, 13 May, 15:00 - 15:45 UTC
Fri, 13 May, 15:00 - 15:45 UTC
Session Chair:
Dionysios Kalogerias, Yale University
Session SPTM-24
SPTM-24.1: ORTHOGONAL NONNEGATIVE MATRIX TRI-FACTORIZATION FOR COMMUNITY DETECTION IN MULTIPLEX NETWORKS
Meiby Ortiz-Bouza, Selin Aviyente, Michigan State University, United States of America
SPTM-24.2: STUDYING THREE FAMILIES OF DIVERGENCES TO COMPARE WIDE-SENSE STATIONARY GAUSSIAN ARMA PROCESSES
Eric Grivel, Bordeaux INP, France
SPTM-24.3: MULTIVARIATE MULTISCALE COSINE SIMILARITY ENTROPY
Hongjian Xiao, Danilo Mandic, Imperial College London, United Kingdom of Great Britain and Northern Ireland; Theerasak Chanwimalueang, Srinakharinwirot University, Thailand
SPTM-24.4: ZEROTH-ORDER RANDOMIZED SUBSPACE NEWTON METHODS
Erik Berglund, Sarit Khirirat, Xiaoyu Wang, KTH Royal Institute of Technology, Sweden
SPTM-24.5: FAST AND STABLE CONVERGENCE OF ONLINE SGD FOR CV@R-BASED RISK-AWARE LEARNING
Dionysios Kalogerias, Yale University, United States of America
SPTM-24.6: DEEP INITIALIZATION FOR GUARANTEED UNIMODULAR QUADRATIC PROGRAMMING
Amrutha Varshini Ramesh, University of British Columbia, Canada; Mojtaba Soltanalian, University of Illinois at Chicago, United States of America