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Soummya Kar

  1. Topology Adaptive Graph Convolutional Networks
    2017/10/28 by Jian Du, Du, Jian, Shanghang Zhang +7 · 21 citations
    Computer Science · Physics and Astronomy · #Advanced Graph Neural Networks #Complex Network Analysis Techniques #FOS: Computer and information sciences #Machine Learning (cs.LG) #Machine Learning (stat.ML)
  2. MATCHA: Speeding Up Decentralized SGD via Matching Decomposition Sampling
    2019/05/23 by Jianyu Wang, Wang, Jianyu, Anit Kumar Sahu +7 · 6 citations
    Computer Science · Engineering · #Advanced Memory and Neural Computing #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Privacy-Preserving Technologies in Data #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #electronic engineering #information engineering
  3. Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points
    2017/11/14 by Ryan Murray, Murray, Ryan, Brian R. Swenson +3 · 4 citations
    Computer Science · Engineering · Mathematics · #Advanced Optimization Algorithms Research #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  4. Nonlinear gradient mappings and stochastic optimization: A general framework with applications to heavy-tail noise
    2022/04/06 by Dušan Jakovetić, Dragana Bajović, Jakovetic, Dusan +9 · 5 citations
    Computer Science · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Statistical Methods and Inference #Stochastic Gradient Optimization Techniques
  5. Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima
    2020/03/05 by Brian R. Swenson, Ryan Murray, Swenson, Brian +6 · 3 citations
    Computer Science · Engineering · Medicine · #Advanced Neuroimaging Techniques and Applications #Distributed Control Multi-Agent Systems #FOS: Mathematics #Optimization and Control (math.OC) #Sparse and Compressive Sensing Techniques #Stochastic Gradient Optimization Techniques
  6. Distributed stochastic optimization with gradient tracking over strongly-connected networks
    2019/03/18 by Ran Xin, Anit Kumar Sahu, Xin, Ran +5 · 5 citations
    Computer Science · #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Neural Networks Stability and Synchronization #Parallel #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
  7. Push-SAGA: A decentralized stochastic algorithm with variance reduction\n over directed graphs
    2020/08/13 by Muhammad I. Qureshi, Xin Ran, Qureshi, Muhammad I. +5 · 3 citations
    Computer Science · #Cooperative Communication and Network Coding #Distributed #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Electrical engineering #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Multiagent Systems (cs.MA) #Parallel #Stochastic Gradient Optimization Techniques #Systems and Control (eess.SY) #and Cluster Computing (cs.DC) #electronic engineering #information engineering
  8. Convergence rates for distributed stochastic optimization over random\n networks
    2018/03/21 by Dušan Jakovetić, Jakovetic, Dusan, Dragana Bajović +5 · 2 citations
    Computer Science · Engineering · #Stochastic Gradient Optimization Techniques #Distributed Control Multi-Agent Systems #Sparse and Compressive Sensing Techniques
  9. Large deviations rates for stochastic gradient descent with strongly convex functions
    2022/11/02 by Dragana Bajović, Dušan Jakovetić, Bajovic, Dragana +3 · 2 citations
    Economics, Econometrics and Finance · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Markov Chains and Monte Carlo Methods #Optimization and Control (math.OC) #Statistical Methods and Inference #Stochastic processes and financial applications
  10. A Structured Systems Approach for Optimal Actuator-Sensor Placement in\n Linear Time-Invariant Systems
    2012/10/24 by Sérgio Pequito, Soummya Kar, Pequito, Sergio +3 · 1 citation
    Computer Science · Engineering · #Advanced Control Systems Optimization #FOS: Computer and information sciences #FOS: Electrical engineering #FOS: Mathematics #Formal Methods in Verification #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Stability and Control of Uncertain Systems #Systems and Control (eess.SY) #electronic engineering #information engineering
  11. High-probability Convergence Bounds for Nonlinear Stochastic Gradient Descent Under Heavy-tailed Noise
    2023/10/28 by Aleksandar Armacki, Pranay Sharma, Armacki, Aleksandar +9 · 2 citations
    Computer Science · Engineering · Mathematics · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Optimization and Control (math.OC) #Random Matrices and Applications #Sparse and Compressive Sensing Techniques #Statistics Theory (math.ST) #Stochastic Gradient Optimization Techniques
  12. Distributed Gradient Descent: Nonconvergence to Saddle Points and the\n Stable-Manifold Theorem
    2019/08/07 by Brian R. Swenson, Swenson, Brian, Ryan Murray +5 · 1 citation
    Computer Science · Mathematics · #Distributed Control Multi-Agent Systems #FOS: Computer and information sciences #FOS: Mathematics #Markov Chains and Monte Carlo Methods #Multiagent Systems (cs.MA) #Optimization and Control (math.OC) #Stochastic Gradient Optimization Techniques
  13. Large Deviation Upper Bounds and Improved MSE Rates of Nonlinear SGD: Heavy-tailed Noise and Power of Symmetry
    2024/10/21 by Aleksandar Armacki, Armacki, Aleksandar, Shuhua Yu +7 · 4 citations
    Chemistry · Economics, Econometrics and Finance · Engineering · #FOS: Computer and information sciences #FOS: Mathematics #Machine Learning (cs.LG) #Optimization and Control (math.OC) #Probability (math.PR) #Semiconductor Lasers and Optical Devices #Spectroscopy and Laser Applications #Stochastic processes and financial applications
  14. Nonlinear consensus+innovations under correlated heavy-tailed noises: Mean square convergence rate and asymptotics
    2022/12/22 by Manojlo Vuković, Vukovic, Manojlo, Dušan Jakovetić +5 · 1 citation
    Computer Science · Mathematics · #60G35 #62M05 #93E10 #93E35 #94A13 #Distributed Control Multi-Agent Systems #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #FOS: Mathematics #Information Theory (cs.IT) #Optimization and Control (math.OC) #Random Matrices and Applications
  15. Coded Iterative Computing using Substitute Decoding
    2018/05/15 by Yaoqing Yang, Yang, Yaoqing, Malhar Chaudhari +5 · 2 citations
    Computer Science · #Cooperative Communication and Network Coding #Error Correcting Code Techniques #FOS: Computer and information sciences #Information Theory (cs.IT) #Stochastic Gradient Optimization Techniques
  16. Convergence analysis of belief propagation for pairwise linear Gaussian models
    2017/06/12 by Jian Du, Du, Jian, Shaodan Ma +7 · 1 citation
    Computer Science · Engineering · #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Machine Learning (cs.LG) #Machine Learning (stat.ML) #Target Tracking and Data Fusion in Sensor Networks