Lin Xiao

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Stephen BoydProfessor of Electrical Engineering, Computer Science, and Management Science, StanfordVerified email at stanford.edu
Mikael JohanssonProfessor of Electrical Engineering, KTHVerified email at kth.se
Ofer DekelMicrosoft ResearchVerified email at microsoft.com
Zhaosong LuUniversity of MinnesotaVerified email at umn.edu
Jianshu ChenTencent AI LabVerified email at ucla.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Sanjay LallStanford UniversityVerified email at stanford.edu
Jie LiuHarbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
Qihang LinThe University of IowaVerified email at uiowa.edu
Tong ZhangHKUSTVerified email at tongzhang-ml.org
Ran Gilad-BachrachTel-Aviv UniversityVerified email at tauex.tau.ac.il
Yuchen ZhangPrincipal Researcher at MicrosoftVerified email at microsoft.com
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Bo DaiResearch Scientist, Google BrainVerified email at google.com
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
Denny ZhouResearch Scientist, Google BrainVerified email at google.com
Jonathan P. HowRichard C. Maclaurin Professor of Aerospace Engineering, Massachusetts Institute of TechnologyVerified email at mit.edu
Jianfeng GaoMicrosoft Research, RedmondVerified email at microsoft.com
Xiaodong He (何晓冬)AI Lab, JD.COM (京东AI研究院); IEEE/CAAI FellowVerified email at ieee.org

Lin Xiao

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Optimization Machine Learning


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Fast linear iterations for distributed averaging L Xiao, S Boyd Systems & Control Letters 53 (1), 65-78, 2004	2779	2004
A scheme for robust distributed sensor fusion based on average consensus L Xiao, S Boyd, S Lall IPSN 2005. Fourth International Symposium on Information Processing in …, 2005	1558	2005
Distributed average consensus with least-mean-square deviation L Xiao, S Boyd, SJ Kim Journal of parallel and distributed computing 67 (1), 33-46, 2007	1113	2007
Subgradient methods S Boyd, L Xiao, A Mutapcic lecture notes of EE392o, Stanford University, Autumn Quarter 2004, 2004-2005, 2003	1035	2003
Energy-Aware Server Provisioning and Load Dispatching for Connection-Intensive Internet Services. G Chen, W He, J Liu, S Nath, L Rigas, L Xiao, F Zhao NSDI 8, 337-350, 2008	866	2008
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization L Xiao Journal of Machine Learning Research 11, 2543-2596, 2010	851	2010
Fastest mixing Markov chain on a graph S Boyd, P Diaconis, L Xiao SIAM review 46 (4), 667-689, 2004	714	2004
A proximal stochastic gradient method with progressive variance reduction L Xiao, T Zhang SIAM Journal on Optimization 24 (4), 2057-2075, 2014	682	2014
Simultaneous routing and resource allocation via dual decomposition L Xiao, M Johansson, SP Boyd IEEE Transactions on Communications 52 (7), 1136-1144, 2004	667	2004
Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012	555	2012
Control with random communication delays via a discrete-time jump system approach L Xiao, A Hassibi, JP How Proceedings of the 2000 American Control Conference. ACC (IEEE Cat. No …, 2000	485	2000
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. A Agarwal, O Dekel, L Xiao COLT, 28-40, 2010	285	2010
Optimal scaling of a gradient method for distributed resource allocation L Xiao, S Boyd Journal of optimization theory and applications 129 (3), 469-488, 2006	274	2006
Cross-layer optimization of wireless networks using nonlinear column generation M Johansson, L Xiao IEEE Transactions on Wireless Communications 5 (2), 435-445, 2006	246	2006
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization. Y Zhang, L Xiao ICML, 353-361, 2015	227	2015
On the complexity analysis of randomized block-coordinate descent methods Z Lu, L Xiao Mathematical Programming 152 (1), 615-642, 2015	210	2015
A space-time diffusion scheme for peer-to-peer least-squares estimation L Xiao, S Boyd, S Lall Proceedings of the 5th international conference on Information processing in …, 2006	209	2006
Learning to classify with missing and corrupted features O Dekel, O Shamir, L Xiao Machine learning 81 (2), 149-178, 2010	188	2010
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss. Y Zhang, L Xiao ICML, 362-370, 2015	186	2015
The fastest mixing Markov process on a graph and a connection to a maximum variance unfolding problem J Sun, S Boyd, L Xiao, P Diaconis SIAM review 48 (4), 681-699, 2006	185	2006

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