Wakin, Michael B.

7 publications

JMLR 2024 Guaranteed Nonconvex Factorization Approach for Tensor Train Recovery Zhen Qin, Michael B. Wakin, Zhihui Zhu

NeurIPS 2022 Error Analysis of Tensor-Train Cross Approximation Zhen Qin, Alexander Lidiak, Zhexuan Gong, Gongguo Tang, Michael B Wakin, Zhihui Zhu

NeurIPS 2019 Distributed Low-Rank Matrix Factorization with Exact Consensus Zhihui Zhu, Qiuwei Li, Xinshuo Yang, Gongguo Tang, Michael B Wakin

JMLR 2019 Streaming Principal Component Analysis from Incomplete Data Armin Eftekhari, Gregory Ongie, Laura Balzano, Michael B. Wakin

NeurIPS 2019 The Landscape of Non-Convex Empirical Risk with Degenerate Population Risk Shuang Li, Gongguo Tang, Michael B Wakin

AAAI 2018 Randomized Clustered Nystrom for Large-Scale Kernel Machines Farhad Pourkamali-Anaraki, Stephen Becker, Michael B. Wakin

NeurIPS 2005 Recovery of Jointly Sparse Signals from Few Random Projections Michael B. Wakin, Marco F. Duarte, Shriram Sarvotham, Dror Baron, Richard G. Baraniuk