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
Jianshu ChenPrincipal Scientist, AmazonVerified email at ucla.edu
Zhaosong LuUniversity of MinnesotaVerified email at umn.edu
Ohad ShamirWeizmann Institute of ScienceVerified email at weizmann.ac.il
Sanjay LallStanford UniversityVerified email at stanford.edu
Tong ZhangUIUCVerified email at tongzhang-ml.org
Jie LiuHarbin Institute of Technology (Shenzhen)Verified email at hit.edu.cn
Ran Gilad-BachrachTel-Aviv UniversityVerified email at tauex.tau.ac.il
Lihong Li (李力鸿)AmazonVerified email at amazon.com
Qihang LinThe University of IowaVerified email at uiowa.edu
Yuchen ZhangResearch Scientist at ByteDanceVerified email at microsoft.com
Bo DaiGoogle Brain & Georgia TechVerified email at google.com
Denny ZhouResearch Scientist, Google DeepMindVerified email at google.com
Li DengChief AI Officer, Citadel (former)Verified email at ieee.org
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
Pablo A. ParriloProfessor of Electrical Engineering and Computer Science, Massachusetts Institute of TechnologyVerified email at mit.edu
Alekh AgarwalGoogleVerified email at google.com

Lin Xiao

Meta AI, FAIR (Fundamental AI Research)

Verified email at meta.com - Homepage

Optimization Machine Learning


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Fast linear iterations for distributed averaging L Xiao, S Boyd Systems & Control Letters 53 (1), 65-78, 2004	3315	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	1817	2005
Subgradient methods S Boyd, L Xiao, A Mutapcic lecture notes of EE392o, Stanford University, Autumn Quarter 2004 (01), 2003	1351	2003
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	1283	2007
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization L Xiao Journal of Machine Learning Research 11, 2543-2596, 2010	1041	2010
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	948	2008
Fastest mixing Markov chain on a graph S Boyd, P Diaconis, L Xiao SIAM review 46 (4), 667-689, 2004	883	2004
A proximal stochastic gradient method with progressive variance reduction L Xiao, T Zhang SIAM Journal on Optimization 24 (4), 2057-2075, 2014	852	2014
Optimal Distributed Online Prediction Using Mini-Batches. O Dekel, R Gilad-Bachrach, O Shamir, L Xiao Journal of Machine Learning Research 13 (1), 2012	801	2012
Simultaneous routing and resource allocation via dual decomposition L Xiao, M Johansson, SP Boyd IEEE Transactions on Communications 52 (7), 1136-1144, 2004	700	2004
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	527	2000
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. A Agarwal, O Dekel, L Xiao Colt, 28-40, 2010	429	2010
Optimal scaling of a gradient method for distributed resource allocation L Xiao, S Boyd Journal of optimization theory and applications 129, 469-488, 2006	371	2006
SBEED: Convergent reinforcement learning with nonlinear function approximation B Dai, A Shaw, L Li, L Xiao, N He, Z Liu, J Chen, L Song International conference on machine learning, 1125-1134, 2018	307	2018
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization. Y Zhang, L Xiao ICML, 353-361, 2015	293	2015
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss. Y Zhang, L Xiao ICML, 362-370, 2015	261	2015
On the complexity analysis of randomized block-coordinate descent methods Z Lu, L Xiao Mathematical Programming 152, 615-642, 2015	258	2015
Cross-layer optimization of wireless networks using nonlinear column generation M Johansson, L Xiao IEEE Transactions on Wireless Communications 5 (2), 435-445, 2006	254	2006
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	228	2006
Learning to classify with missing and corrupted features O Dekel, O Shamir, L Xiao Machine learning 81, 149-178, 2010	222	2010

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