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Learning to Solve AC Optimal Power Flow by Differentiating through Holomorphic Embeddings

Dec 16, 2020
Henning Lange, Bingqing Chen, Mario Berges, Soummya Kar

* 10 pages 

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A fast randomized incremental gradient method for decentralized non-convex optimization

Nov 07, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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A near-optimal stochastic gradient method for decentralized non-convex finite-sum optimization

Sep 15, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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Push-SAGA: A decentralized stochastic algorithm with variance reduction over directed graphs

Aug 13, 2020
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan


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An improved convergence analysis for decentralized online stochastic non-convex optimization

Aug 10, 2020
Ran Xin, Usman A. Khan, Soummya Kar


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S-ADDOPT: Decentralized stochastic first-order optimization over directed graphs

May 15, 2020
Muhammad I. Qureshi, Ran Xin, Soummya Kar, Usman A. Khan


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Gradient tracking and variance reduction for decentralized optimization and machine learning

Feb 13, 2020
Ran Xin, Soummya Kar, Usman A. Khan

* accepted for publication, IEEE Signal Processing Magazine 

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Variance-Reduced Decentralized Stochastic Optimization with Gradient Tracking -- Part II: GT-SVRG

Oct 08, 2019
Ran Xin, Usman A. Khan, Soummya Kar

* arXiv admin note: text overlap with arXiv:1909.11774 

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Decentralized Stochastic First-Order Methods for Large-scale Machine Learning

Jul 23, 2019
Ran Xin, Soummya Kar, Usman A. Khan


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MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling

May 23, 2019
Jianyu Wang, Anit Kumar Sahu, Zhouyi Yang, Gauri Joshi, Soummya Kar


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Distributed stochastic optimization with gradient tracking over strongly-connected networks

Apr 09, 2019
Ran Xin, Anit Kumar Sahu, Usman A. Khan, Soummya Kar


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Annealing for Distributed Global Optimization

Mar 18, 2019
Brian Swenson, Soummya Kar, H. Vincent Poor, Jose' M. F. Moura


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Clustering with Distributed Data

Jan 01, 2019
Soummya Kar, Brian Swenson


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Towards Gradient Free and Projection Free Stochastic Optimization

Oct 09, 2018
Anit Kumar Sahu, Manzil Zaheer, Soummya Kar

* 21 pages, 3 figures 

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Topology Adaptive Graph Convolutional Networks

Feb 11, 2018
Jian Du, Shanghang Zhang, Guanhang Wu, Jose M. F. Moura, Soummya Kar

* 13 pages 

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Convergence Analysis of Distributed Inference with Vector-Valued Gaussian Belief Propagation

Dec 29, 2017
Jian Du, Shaodan Ma, Yik-Chung Wu, Soummya Kar, José M. F. Moura

* 38 pages 

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Convergence analysis of belief propagation for pairwise linear Gaussian models

Nov 18, 2017
Jian Du, Shaodan Ma, Yik-Chung Wu, Soummya Kar, José M. F. Moura

* published in GlobalSIP 2017, Montreal, Canada. arXiv admin note: text overlap with arXiv:1704.03969 

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Convergence analysis of the information matrix in Gaussian belief propagation

Apr 13, 2017
Jian Du, Shaodan Ma, Yik-Chung Wu, Soummya Kar, José M. F. Moura

* arXiv admin note: substantial text overlap with arXiv:1611.02010 

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$QD$-Learning: A Collaborative Distributed Strategy for Multi-Agent Reinforcement Learning Through Consensus + Innovations

Oct 25, 2012
Soummya Kar, Jose' M. F. Moura, H. Vincent Poor

* Submitted to the IEEE Transactions on Signal Processing, 33 pages 

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Kalman Filtering with Intermittent Observations: Weak Convergence to a Stationary Distribution

May 28, 2010
Soummya Kar, Bruno Sinopoli, Jose M. F. Moura

* Submitted for publication 

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Sensor Networks with Random Links: Topology Design for Distributed Consensus

Apr 06, 2007
Soummya Kar, Jose M. F. Moura

* Submitted to IEEE Transactions 

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