SPTM-L6.5
VARIABLE METRIC STOCHASTIC LINE-SEARCH FOR PRIMAL-DUAL HYBRID GRADIENT
Yodai Suzuki, Institute of Science Tokyo, Japan; Kazuki Naganuma, Tokyo University of Agriculture and Technology, Japan; Shunsuke Ono, Institute of Science Tokyo, Japan
Session:
SPTM-L6: Sparse Optimization Oral
Track:
Signal Processing Theory and Methods [TM]
Location:
Room 124+125
Presentation Time:
Thu, 7 May, 10:20 - 10:40
Presentation
Discussion
Resources
No resources available.
Session SPTM-L6
SPTM-L6.1: TIGHTNESS OF SEMIDEFINITE RELAXATION FOR QUATERNION-BASED ROTATION SYNCHRONIZATION PROBLEMS
Xin Chen, Jianing Zhao, The Chinese University of Hong Kong, China; Chunfeng Cui, Beihang University, China; Anthony Man-Cho So, The Chinese University of Hong Kong, China
SPTM-L6.2: PRIMAL VARIABLE DECOUPLING AND DIAGONAL PRECONDITIONING FOR PRIMAL-DUAL SPLITTING BEYOND LIPSCHITZ CONSTANT RESTRICTIONS
Kazuki Naganuma, Tokyo University of Agriculture and Technology, Japan; Yodai Suzuki, Institute of Science Tokyo, Japan; Ryo Hayakawa, Tokyo University of Agriculture and Technology, Japan; Shunsuke Ono, Institute of Science Tokyo, Japan
SPTM-L6.3: AN EXACT PENALTY METHOD FOR SPARSITY-CONSTRAINED OPTIMIZATION
Jianing Zhao, Junbin Liu, Anthony Man-Cho So, Wing-Kin Ma, The Chinese University of Hong Kong, Hong Kong
SPTM-L6.4: SCALABLE HESSIAN-FREE PROXIMAL CONJUGATE GRADIENT METHOD FOR NONCONVEX AND NONSMOOTH OPTIMIZATION
Yiming Zhou, Wei Dai, Imperial College London, United Kingdom of Great Britain and Northern Ireland
SPTM-L6.5: VARIABLE METRIC STOCHASTIC LINE-SEARCH FOR PRIMAL-DUAL HYBRID GRADIENT
Yodai Suzuki, Institute of Science Tokyo, Japan; Kazuki Naganuma, Tokyo University of Agriculture and Technology, Japan; Shunsuke Ono, Institute of Science Tokyo, Japan
SPTM-L6.6: SPARSE SIGNAL RECOVERY BASED ON LOWER-SEMICONTINUOUS 1-WEAKLY-CONVEX ENVELOPE OF MARGINAL FUNCTION
Kyohei Suzuki, Institute of Science Tokyo, Japan; Masahiro Yukawa, Keio University, Japan
Contacts