Distributed nonconvex optimization for sparse representation
暂无分享,去创建一个
[1] J.N. Tsitsiklis,et al. Convergence in Multiagent Coordination, Consensus, and Flocking , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.
[2] Pascal Bianchi,et al. Convergence of a Multi-Agent Projected Stochastic Gradient Algorithm for Non-Convex Optimization , 2011, IEEE Transactions on Automatic Control.
[3] Lihua Xie,et al. Augmented distributed gradient methods for multi-agent optimization under uncoordinated constant stepsizes , 2015, 2015 54th IEEE Conference on Decision and Control (CDC).
[4] Daniel Pérez Palomar,et al. Distributed nonconvex multiagent optimization over time-varying networks , 2016, 2016 50th Asilomar Conference on Signals, Systems and Computers.
[5] David Zhang,et al. A Survey of Sparse Representation: Algorithms and Applications , 2015, IEEE Access.
[6] Eric R. Ziegel,et al. The Elements of Statistical Learning , 2003, Technometrics.
[7] Jong-Shi Pang,et al. Computing B-Stationary Points of Nonsmooth DC Programs , 2015, Math. Oper. Res..
[8] Angelia Nedic,et al. Stochastic Gradient-Push for Strongly Convex Functions on Time-Varying Directed Graphs , 2014, IEEE Transactions on Automatic Control.
[9] Wenjiang J. Fu. Penalized Regressions: The Bridge versus the Lasso , 1998 .
[10] Jack Xin,et al. Point Source Super-resolution Via Non-convex $$L_1$$L1 Based Methods , 2016, J. Sci. Comput..
[11] João M. F. Xavier,et al. D-ADMM: A Communication-Efficient Distributed Algorithm for Separable Optimization , 2012, IEEE Transactions on Signal Processing.
[12] M. Yuan,et al. Model selection and estimation in regression with grouped variables , 2006 .
[13] Bhaskar D. Rao,et al. An affine scaling methodology for best basis selection , 1999, IEEE Trans. Signal Process..
[14] Qing Ling,et al. EXTRA: An Exact First-Order Algorithm for Decentralized Consensus Optimization , 2014, 1404.6264.
[15] Dimitri P. Bertsekas,et al. Nonlinear Programming , 1997 .
[16] H.C. Papadopoulos,et al. Locally constructed algorithms for distributed computations in ad-hoc networks , 2004, Third International Symposium on Information Processing in Sensor Networks, 2004. IPSN 2004.
[17] L. Rudin,et al. Nonlinear total variation based noise removal algorithms , 1992 .
[18] Paul S. Bradley,et al. Feature Selection via Concave Minimization and Support Vector Machines , 1998, ICML.
[19] Angelia Nedic,et al. Distributed Optimization Over Time-Varying Directed Graphs , 2015, IEEE Trans. Autom. Control..
[20] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[21] Behrouz Touri,et al. Non-Convex Distributed Optimization , 2015, IEEE Transactions on Automatic Control.
[22] Le Thi Hoai An,et al. DC approximation approaches for sparse optimization , 2014, Eur. J. Oper. Res..
[23] BachFrancis,et al. Optimization with Sparsity-Inducing Penalties , 2012 .
[24] Jack Xin,et al. Minimization of transformed $$L_1$$L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing , 2014, Math. Program..
[25] Bernhard Schölkopf,et al. Use of the Zero-Norm with Linear Models and Kernel Methods , 2003, J. Mach. Learn. Res..
[26] Trevor Hastie,et al. The Elements of Statistical Learning , 2001 .
[27] Wei Shi,et al. Achieving Geometric Convergence for Distributed Optimization Over Time-Varying Graphs , 2016, SIAM J. Optim..
[28] Martin J. Wainwright,et al. Dual Averaging for Distributed Optimization: Convergence Analysis and Network Scaling , 2010, IEEE Transactions on Automatic Control.
[29] Asuman E. Ozdaglar,et al. Distributed Subgradient Methods for Multi-Agent Optimization , 2009, IEEE Transactions on Automatic Control.
[30] Jack Xin,et al. Difference-of-Convex Learning: Directional Stationarity, Optimality, and Sparsity , 2017, SIAM J. Optim..
[31] J. Cortés,et al. When does a digraph admit a doubly stochastic adjacency matrix? , 2010, Proceedings of the 2010 American Control Conference.
[32] Asuman E. Ozdaglar,et al. Constrained Consensus and Optimization in Multi-Agent Networks , 2008, IEEE Transactions on Automatic Control.
[33] Gesualdo Scutari,et al. NEXT: In-Network Nonconvex Optimization , 2016, IEEE Transactions on Signal and Information Processing over Networks.
[34] Jianqing Fan,et al. Variable Selection via Nonconcave Penalized Likelihood and its Oracle Properties , 2001 .
[35] Jack Xin,et al. Minimization of ℓ1-2 for Compressed Sensing , 2015, SIAM J. Sci. Comput..
[36] Bahman Gharesifard,et al. Distributed Continuous-Time Convex Optimization on Weight-Balanced Digraphs , 2012, IEEE Transactions on Automatic Control.
[37] Francisco Facchinei,et al. Hybrid Random/Deterministic Parallel Algorithms for Convex and Nonconvex Big Data Optimization , 2014, IEEE Transactions on Signal Processing.
[38] Francisco Facchinei,et al. Parallel Selective Algorithms for Nonconvex Big Data Optimization , 2014, IEEE Transactions on Signal Processing.
[39] Stephen P. Boyd,et al. A scheme for robust distributed sensor fusion based on average consensus , 2005, IPSN 2005. Fourth International Symposium on Information Processing in Sensor Networks, 2005..
[40] Francisco Facchinei,et al. Decomposition by Partial Linearization: Parallel Optimization of Multi-Agent Systems , 2013, IEEE Transactions on Signal Processing.