Meisam Razaviyayn
Artificial Intelligence · 2011–2019
A researcher in the Science corpus: 11 papers; trusts 136 researchers and is trusted by 58 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 107 citations into it; #11,632 of 35,345 by trust here, #11,921 by citations
- Computational Mechanics — 92 citations into it; #993 of 10,001 by trust here, #1,065 by citations
- Optimization & Training — 60 citations into it
- Computer Networks and Communications — 44 citations into it; #1,144 of 9,886 by trust here, #1,617 by citations
- Numerical Analysis — 37 citations into it; #780 of 3,586 by trust here, #441 by citations
- Computational Theory and Mathematics — 36 citations into it
- Mathematical Optimization — 30 citations into it; #206 of 422 by trust here, #191 by citations
- Electrical and Electronic Engineering — 29 citations into it; #1,325 of 16,539 by trust here, #5,630 by citations
Whom Meisam Razaviyayn trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Zhi-Quan Tom Luo
- Qingjiang Shi
- Dimitri P. Bertsekas
- Stephen J. Wright
- Peter Richtárik
- Alan L. Yuille
- Geoffrey E. Hinton
- Julien Mairal
- Maria Chlouveraki
Who trusts Meisam Razaviyayn overall
- Mingyi Hong
- Zhi-Quan Tom Luo
- Julien Mairal
- Qingqing Wu
- Gesualdo Scutari
- Ying Sun
- Woongsup Lee
- Huayan Guo
- Ruoyu Sun
- Felipe Yanez
Papers from Meisam Razaviyayn's perspective
Ordered by how strongly the researchers Meisam Razaviyayn trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- ImageNet: A large-scale hierarchical image database
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Solving a Class of Non-Convex Min-Max Games Using Iterative First Order Methods (2019) — 397 citations
- On Optimal Generalizability in Parametric Learning (2017) — 58 citations
- An Iteratively Weighted MMSE Approach to Distributed Sum-Utility Maximization for a MIMO Interfering Broadcast Channel (2011) — 2,193 citations
- Optimal Joint Base Station Assignment and Beamforming for Heterogeneous Networks (2014) — 70 citations
- Rényi Fair Inference (2019) — 69 citations
- Gradient Primal-Dual Algorithm Converges to Second-Order Stationary Solutions for Nonconvex Distributed Optimization (2018) — 34 citations
- A Unified Algorithmic Framework for Block-Structured Optimization Involving Big Data: With applications in machine learning and signal processing (2015) — 402 citations
- Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems (2014) — 990 citations
- Parallel Successive Convex Approximation for Nonsmooth Nonconvex Optimization (2014) — 112 citations
- A Unified Convergence Analysis of Block Successive Minimization Methods for Nonsmooth Optimization (2012) — 1,321 citations
- On the Degrees of Freedom Achievable Through Interference Alignment in a MIMO Interference Channel (2011) — 305 citations