Ran Xin

According to our database1, Ran Xin authored at least 25 papers between 2014 and 2021.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

2021
S-ADDOPT: Decentralized Stochastic First-Order Optimization Over Directed Graphs.
IEEE Control. Syst. Lett., 2021

A hybrid variance-reduced method for decentralized stochastic non-convex optimization.
CoRR, 2021

2020
Variance-Reduced Decentralized Stochastic Optimization With Accelerated Convergence.
IEEE Trans. Signal Process., 2020

Distributed Heavy-Ball: A Generalization and Acceleration of First-Order Methods With Gradient Tracking.
IEEE Trans. Autom. Control., 2020

Decentralized Optimization Over Time-Varying Directed Graphs With Row and Column-Stochastic Matrices.
IEEE Trans. Autom. Control., 2020

Decentralized Stochastic Optimization and Machine Learning: A Unified Variance-Reduction Framework for Robust Performance and Fast Convergence.
IEEE Signal Process. Mag., 2020

A General Framework for Decentralized Optimization With First-Order Methods.
Proc. IEEE, 2020

A fast randomized incremental gradient method for decentralized non-convex optimization.
CoRR, 2020

A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization.
CoRR, 2020

Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs.
CoRR, 2020

An improved convergence analysis for decentralized online stochastic non-convex optimization.
CoRR, 2020

Gradient tracking and variance reduction for decentralized optimization and machine learning.
CoRR, 2020

GT-SAGA: A fast incremental gradient method for decentralized finite-sum minimization.
Proceedings of the 59th IEEE Conference on Decision and Control, 2020

2019
Distributed Nesterov Gradient Methods Over Arbitrary Graphs.
IEEE Signal Process. Lett., 2019

FROST - Fast row-stochastic optimization with uncoordinated step-sizes.
EURASIP J. Adv. Signal Process., 2019

Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking - Part II: GT-SVRG.
CoRR, 2019

Decentralized Stochastic First-Order Methods for Large-scale Machine Learning.
CoRR, 2019

Distributed Training with Mobile Agents: Optimization Over Dynamic Directed Graphs.
Proceedings of the IEEE Data Science Workshop, 2019

Distributed stochastic optimization with gradient tracking over strongly-connected networks.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed empirical risk minimization over directed graphs.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
ADD-OPT: Accelerated Distributed Directed Optimization.
IEEE Trans. Autom. Control., 2018

Linear Convergence in Optimization Over Directed Graphs With Row-Stochastic Matrices.
IEEE Trans. Autom. Control., 2018

A Linear Algorithm for Optimization Over Directed Graphs With Geometric Convergence.
IEEE Control. Syst. Lett., 2018

Subgradient Projection Over Directed Graphs Using Surplus Consensus.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

2014
AP Association for Proportional Fairness in Multirate WLANs.
IEEE/ACM Trans. Netw., 2014


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