SPTM-L2.6
WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
Takanobu Furuhashi, Hidekata Hontani, Nagoya Institute of Technology, Japan; Qibin Zhao, RIKEN, Japan; Tatsuya Yokota, Nagoya Institute of Technology, Japan
Session:
SPTM-L2: Sparse and low-dimensional signal recovery Oral
Track:
Signal Processing Theory and Methods [TM]
Location:
Room 124+125
Presentation Time:
Tue, 5 May, 18:10 - 18:30
Presentation
Discussion
Resources
No resources available.
Session SPTM-L2
SPTM-L2.1: TOEPLITZ UNLABELED SENSING
Xin Hong, Manolis Tsakiris, Chinese Academy of Sciences, China
SPTM-L2.2: SUBARRAY ORTHOGONAL MATCHING PURSUIT FOR BLOCK-SPARSE SIGNALS WITH UNKNOWN BLOCK PARTITIONS
So Fujino, Ryo Hayakawa, Tokyo University of Agriculture and Technology, Japan
SPTM-L2.3: CENTRALIZED SPECTRAL INITIALIZATION FOR SPARSE PHASE RETRIEVAL
Mengchu Xu, Weizmann Institute of Science, Israel; Dong Xiao, Jian Wang, Fudan University, China; Yonina Eldar, Weizmann Institute of Science, Israel
SPTM-L2.4: ATOMIC NORM MINIMIZATION REVISITED: PROGRESSIVE ATOM IDENTIFICATION AND REFINEMENT
Xiaozhi Liu, Jinjiang Wei, Yong Xia, Beihang University, China
SPTM-L2.5: PAIRWISE DISTORTION DISTRIBUTION FOR COMPRESSION AND QUANTIZATION
Carl Nuzman, Nokia Bell Labs, United States of America; Jeongmin Chae, University of Southern California, United States of America; Kursat Mestav, Nokia Bell Labs, United States of America; Urbashi Mitra, University of Southern California, United States of America
SPTM-L2.6: WEEP: A Differentiable Nonconvex Sparse Regularizer via Weakly-Convex Envelope
Takanobu Furuhashi, Hidekata Hontani, Nagoya Institute of Technology, Japan; Qibin Zhao, RIKEN, Japan; Tatsuya Yokota, Nagoya Institute of Technology, Japan
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