Lin Xiao - Concepedia

Author

Lin Xiao

Microsoft (United States)ORCID

Also Known As

Lin Xiao, Xiao LIN, Xiao Lin, Xiao, Lin, Zhang, Pengchuan

Publications

4.4K

Citations

H-Index

117

Concepts

All Affiliations

Microsoft (United States)Microsoft Research (United Kingdom)Simon Fraser University University of Washington Rutgers, The State University of New Jersey

About

Lin Xiao is an author at Microsoft (United States) specializing in engineering, computer science, and machine learning.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	24	38	3K
2	Management	2	2	102
3	Business	1	1	107
4	Education	1	1	23
5	Natural Sciences	1	1	52

Lin Xiao

Publications

4.2K

Citations

H-Index

Page 1

	Year	Citations
A Proximal Stochastic Gradient Method with Progressive Variance Reduction Lin Xiao, Tong Zhang SIAM Journal on Optimization Mathematical ProgrammingNumerical AnalysisNondifferentiable OptimizationEngineeringMachine Learning	2014	621
Dual Averaging Method for Regularized Stochastic Learning and Online Optimization Lin Xiao	2009	605
Optimal Distributed Online Prediction using Mini-Batches Ofer Dekel, Ran Gilad-Bachrach, Ohad Shamir, arXiv (Cornell University) Cluster ComputingOnline Prediction MethodsEngineeringMachine LearningDistributed Algorithms	2010	562
Optimal Algorithms for Online Convex Optimization with Multi-Point Bandit Feedback. Alekh Agarwal, Ofer Dekel, Lin Xiao	2010	253
On the complexity analysis of randomized block-coordinate descent methods Zhaosong Lu, Lin Xiao Mathematical Programming Mathematical ProgrammingComplexity AnalysisEngineeringAlgorithmic Information TheoryComputational Complexity	2014	215
DiSCO: Distributed Optimization for Self-Concordant Empirical Loss Yuchen Zhang, Lin Xiao	2015	154
Learning to classify with missing and corrupted features Ofer Dekel, Ohad Shamir, Lin Xiao Machine Learning Classification MethodMachine VisionMachine LearningData ScienceData Mining	2009	127
A Proximal-Gradient Homotopy Method for the Sparse Least-Squares Problem Lin Xiao, Tong Zhang SIAM Journal on Optimization Mathematical ProgrammingNumerical AnalysisSparse RepresentationEngineeringSlow Convergence Rate	2013	126
SBEED: Convergent Reinforcement Learning with Nonlinear Function Approximation Bo Dai, Albert Shaw, Lihong Li, arXiv (Cornell University) Artificial IntelligenceMathematical ProgrammingEngineeringMachine LearningStochastic Optimization	2017	120
An Accelerated Randomized Proximal Coordinate Gradient Method and its Application to Regularized Empirical Risk Minimization Qihang Lin, Zhaosong Lu, Lin Xiao SIAM Journal on Optimization Mathematical ProgrammingEngineeringMachine LearningData ScienceStochastic Optimization	2015	117

Page 1