Lin Xiao
Lin Xiao
Meta AI, FAIR (Fundamental AI Research)
Verified email at - Homepage
Cited by
Cited by
Fast linear iterations for distributed averaging
L Xiao, S Boyd
Systems & Control Letters 53 (1), 65-78, 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
Subgradient methods
S Boyd, L Xiao, A Mutapcic
lecture notes of EE392o, Stanford University, Autumn Quarter 2004 (01), 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
Dual Averaging Methods for Regularized Stochastic Learning and Online Optimization
L Xiao
Journal of Machine Learning Research 11, 2543-2596, 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
Fastest mixing Markov chain on a graph
S Boyd, P Diaconis, L Xiao
SIAM review 46 (4), 667-689, 2004
A proximal stochastic gradient method with progressive variance reduction
L Xiao, T Zhang
SIAM Journal on Optimization 24 (4), 2057-2075, 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
Simultaneous routing and resource allocation via dual decomposition
L Xiao, M Johansson, SP Boyd
IEEE Transactions on Communications 52 (7), 1136-1144, 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
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback.
A Agarwal, O Dekel, L Xiao
Colt, 28-40, 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
Stochastic Primal-Dual Coordinate Method for Regularized Empirical Risk Minimization.
Y Zhang, L Xiao
ICML, 353-361, 2015
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
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss.
Y Zhang, L Xiao
ICML, 362-370, 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
On the complexity analysis of randomized block-coordinate descent methods
Z Lu, L Xiao
Mathematical Programming 152, 615-642, 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
Learning to classify with missing and corrupted features
O Dekel, O Shamir, L Xiao
Machine learning 81, 149-178, 2010
The system can't perform the operation now. Try again later.
Articles 1–20