Mehrdad Mahdavi
Artificial Intelligence · 2007–2020
A researcher in the Science corpus: 16 papers; trusts 232 researchers and is trusted by 56 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 251 citations into it; #4,111 of 35,345 by trust here, #4,526 by citations
- Optimization & Training — 145 citations into it; #1,107 of 2,601 by trust here, #1,178 by citations
- Computer Vision and Pattern Recognition — 66 citations into it; #19,689 of 21,575 by trust here, #15,955 by citations
- Federated & Distributed Learning — 64 citations into it; #98 of 319 by trust here, #148 by citations
- Computational Mechanics — 63 citations into it; #4,428 of 10,001 by trust here, #2,782 by citations
- Computational Theory and Mathematics — 34 citations into it; #1,013 of 12,182 by trust here, #1,133 by citations
- Management Science and Operations Research — 31 citations into it; #5,318 of 11,946 by trust here, #8,062 by citations
- Computer Networks and Communications — 30 citations into it; #4,350 of 9,886 by trust here, #4,405 by citations
Whom Mehrdad Mahdavi trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Carlos Artemio Coello Coello
- Zong Woo Geem
- Arkadi Nemirovski
- Martin A. Zinkevich
- Sebastian U. Stich
- L. Eon Bottou
- Alex Krizhevsky
- Elad Hazan
- Francis R. Bach
Who trusts Mehrdad Mahdavi overall
- Zong Woo Geem
- Zeyuan Allen-Zhu
- Mehmet Polat Saka
- Seyedali Mirjalili
- Seyed Mohammad Mirjalili
- Jakub Konecný
- Bilal Alatas
- Xin-She Yang
- Amrit Singh Bedi
- Mohammad Fesanghary
Papers from Mehrdad Mahdavi's perspective
Ordered by how strongly the researchers Mehrdad Mahdavi trusts endorse each paper. Same corpus, a different order for every researcher.
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Attention is All you Need (Neural Information Processing Systems)
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
Their papers
- Online Structured Meta-learning (2020) — 29 citations
- An improved harmony search algorithm for solving optimization problems (2007) — 1,957 citations
- Local SGD with Periodic Averaging: Tighter Analysis and Adaptive Synchronization (2019) — 228 citations
- Hybridizing harmony search algorithm with sequential quadratic programming for engineering optimization problems (2008) — 91 citations
- Global-best harmony search (2008) — 799 citations
- Trading regret for efficiency: online convex optimization with long term constraints (2011) — 313 citations
- Regret bounded by gradual variation for online convex optimization (2014) — 32 citations
- Adaptive Personalized Federated Learning (2020) — 710 citations
- Federated Learning with Compression: Unified Analysis and Sharp Guarantees (2020) — 337 citations
- On the Convergence of Local Descent Methods in Federated Learning (2019) — 316 citations
- Trading Redundancy for Communication: Speeding up Distributed SGD for Non-convex Optimization (2019) — 72 citations
- Linear Convergence with Condition Number Independent Access of Full Gradients (2013) — 159 citations
- Multiple Kernel Learning from Noisy Labels by Stochastic Programming (2012) — 27 citations
- Nyström Method vs Random Fourier Features: A Theoretical and Empirical Comparison (2012) — 369 citations
- Improved Bounds for the Nyström Method With Application to Kernel Classification (2011) — 62 citations
- Improved Bound for the Nystrom's Method and its Application to Kernel Classification (2011) — 11 citations