Dusan Jakovetic

Computer Networks and Communications · 2011–2018

A researcher in the Science corpus: 5 papers; trusts 37 researchers and is trusted by 47 researchers here, as inferred from the citation graph.

Subfields

• Computer Networks and Communications — 52 citations into it; #474 of 9,886 by trust here, #1,173 by citations
• Optimization & Training — 28 citations into it; #605 of 2,601 by trust here, #1,034 by citations
• Artificial Intelligence — 27 citations into it; #5,041 of 35,345 by trust here, #9,641 by citations
• Computational Mechanics — 24 citations into it; #708 of 10,001 by trust here, #1,272 by citations
• Mathematical Optimization — 11 citations into it
• Electrical and Electronic Engineering — 8 citations into it
• Management Science and Operations Research — 5 citations into it
• Numerical Analysis — 5 citations into it

Whom Dusan Jakovetic trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yurii E. Nesterov
2. Angelia Nedić
3. Juan Andrés Bazerque
4. Georgios B. Giannakis
5. Asuman E. Ozdaglar
6. Gonzalo Mateos
7. M. Powell
8. John N. Tsitsiklis
9. Jing Wang
10. Dimitri P. Bertsekas

Who trusts Dusan Jakovetic overall

1. Angelia Nedić
2. Wei Shi
3. Guannan Qu
4. Kevin Scaman
5. Qing Ling
6. Aryan Mokhtari
7. Shi Pu
8. Wotao Yin
9. Haoran Sun
10. Alexander Olshevsky

Papers from Dusan Jakovetic's perspective

Ordered by how strongly the researchers Dusan Jakovetic trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. ImageNet classification with deep convolutional neural networks
3. Distributed Subgradient Methods for Multi-Agent Optimization
4. Parallel and distributed computation
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Gradient-based learning applied to document recognition
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Problems in decentralized decision making and computation
9. Learning Multiple Layers of Features from Tiny Images
10. A Stochastic Approximation Method

Their papers

• Fast Distributed Gradient Methods (2011) — 635 citations
• Convergence Rates for Distributed Stochastic Optimization Over Random Networks (2018) — 76 citations
• Communication-Efficient Distributed Strongly Convex Stochastic Optimization: Non-Asymptotic Rates. (2018) — 15 citations
• Linear Convergence Rate of a Class of Distributed Augmented Lagrangian Algorithms (2013) — 140 citations
• Convergence rate analysis of distributed gradient methods for smooth optimization (2012) — 8 citations