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 |