Technical Program

OMLSPb.PE: Optimization in Machine Learning and Signal Processing II

Symposium: Optimization in Machine Learning and Signal Processing
Session Type: Poster
Time: Tuesday, December 3, 13:30 - 15:30
Location: Poster Area E
 
OMLSPb.PE.1: A ROBUST SEMI-SUPERVISED BOOSTING METHOD USING LINEAR PROGRAMMING
         Shaodan Zhai; Wright State University
         Tian Xia; Wright State University
         Ming Tan; Wright State University
         Shaojun Wang; Wright State University
 
OMLSPb.PE.2: GROUP SYMMETRY AND NON-GAUSSIAN COVARIANCE ESTIMATION
         Ilya Soloveychik; The Hebrew University of Jerusalem
         Ami Wiesel; The Hebrew University of Jerusalem
 
OMLSPb.PE.3: REGULARIZED STOCHASTIC BFGS ALGORITHM
         Aryan Mokhtari; University of Pennsylvania
         Alejandro Ribeiro; University of Pennsylvania
 
OMLSPb.PE.4: PHASE RETRIEVAL OF SPARSE SIGNALS FROM FOURIER TRANSFORM MAGNITUDE USING NON-NEGATIVE MATRIX FACTORIZATION
         Mohammad Shukri Salman; Mevlana University
         Alaa Eleyan; Mevlana University
         Zeynel Deprem; Bilkent University
         A. Enis Cetin; Bilkent University
 
OMLSPb.PE.5: EXACT OPTIMIZATION CONDITIONS FOR DISCRETE LINEAR INVERSE PROBLEMS
         Ahmet Tuysuzoglu; Boston University
         Emre Yilmaz; Bilkent University
         W. Clem Karl; Boston University
         David Castanon; Boston University
 
OMLSPb.PE.6: EXPLORING THE INTERSECTION OF ACTIVE LEARNING AND STOCHASTIC CONVEX OPTIMIZATION
         Aaditya Ramdas; Carnegie Mellon University
         Aarti Singh; Carnegie Mellon University
 
OMLSPb.PE.7: WHEN ARE OVERCOMPLETE REPRESENTATIONS IDENTIFIABLE? UNIQUENESS OF TENSOR DECOMPOSITIONS UNDER EXPANSION CONSTRAINTS
         Animashree Anandkumar; University of California, Irvine
         Daniel Hsu; Microsoft Research
         Majid Janzamin; University of California, Irvine
         Sham Kakade; Microsoft Research
 
OMLSPb.PE.8: A CONVEX METHOD FOR LEARNING D-VALUED MODELS
         Amin Jalali; University of Washington
         Maryam Fazel; University of Washington
 
OMLSPb.PE.9: FROM COMPRESSION TO COMPRESSED SENSING
         Shirin Jalali; New York University
         Arian Maleki; Columbia University
 
OMLSPb.PE.10: LOW RANK APPROXIMATIONS FOR QUADRATIC MAXIMIZATION
         Dimitris Papailiopoulos; University of Texas at Austin
         Alexandros Dimakis; The University of Texas at Austin
 
OMLSPb.PE.11: ROBUST LARGE-SCALE NON-NEGATIVE MATRIX FACTORIZATION USING PROXIMAL POINT ALGORITHM
         Jason Gejie Liu; Tufts University
         Shuchin Aeron; Tufts University