MP7a: Mathematical Data Science (Invited) |
Session Type: Oral |
Time: Monday, November 4, 13:30 - 15:10 |
Location: Acacia |
Session Chairs: Deanna Needell, University of California, Los Angeles and Jamie Haddock, University of California, Los Angeles
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MP7a-1: MANIFOLD PROXIMAL POINT ALGORITHMS FOR DUAL PRINCIPAL COMPONENT PURSUIT AND ORTHOGONAL DICTIONARY LEARNING |
Shixiang Chen; Texas A&M University |
Zengde Deng; The Chinese University of Hong Kong |
Shiqian Ma; University of California, Davis |
Anthony Man-Cho So; The Chinese University of Hong Kong |
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MP7a-2: BUNDLE METHODS FOR DUAL ATOMIC PURSUIT |
Zhenan Fan; University of British Columbia |
Yifan Sun; University of British Columbia |
Michael Friedlander; University of British Columbia |
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MP7a-3: SKETCHING FOR MOTZKIN'S ITERATIVE METHOD FOR LINEAR SYSTEMS |
Elizaveta Rebrova; University of California, Los Angeles |
Deanna Needell; University of California, Los Angeles |
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MP7a-4: CONVERGENCE OF ITERATIVE HARD THRESHOLDING VARIANTS WITH APPLICATION TO ASYNCHRONOUS PARALLEL METHODS FOR SPARSE RECOVERY |
Jamie Haddock; University of California, Los Angeles |
Deanna Needell; University of California, Los Angeles |
Alireza Zaeemzadeh; University of Central Florida |
Nazanin Rahnavard; University of Central Florida |
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