Soroosh Shafieezadeh-Abadeh
Management Science and Operations Research · 2015–2019
A researcher in the Science corpus: 3 papers; trusts 82 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Management Science and Operations Research — 37 citations into it; #3,719 of 11,946 by trust here, #4,118 by citations
- Statistics and Probability — 34 citations into it; #4,832 of 12,932 by trust here, #4,517 by citations
- Artificial Intelligence — 28 citations into it; #28,105 of 35,345 by trust here, #25,809 by citations
- Computer Vision and Pattern Recognition — 26 citations into it
- Optimization & Training — 21 citations into it
- Computational Theory and Mathematics — 16 citations into it
- Control and Systems Engineering — 14 citations into it
- Applied Mathematics — 13 citations into it
Whom Soroosh Shafieezadeh-Abadeh trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Marco Cuturi
- Yann LeCun
- Johan Efberg
- Huan Xu
- Robert Tibshirani
- Peyman Mohajerin Esfahani
- Alex Krizhevsky
- Geoffrey E. Hinton
- D. Kühn
- Shai Shalev-Shwartz
Who trusts Soroosh Shafieezadeh-Abadeh overall
- John C. Duchi
- Jose H. Blanchet
- Jaeho Lee
- Hongseok Namkoong
- D. Kühn
- Verónica Álvarez
- Zheyan Shen
- Rui Gao
- Yang Kang
- Maxim Raginsky
Papers from Soroosh Shafieezadeh-Abadeh's perspective
Ordered by how strongly the researchers Soroosh Shafieezadeh-Abadeh 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
- Long Short-Term Memory
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- ImageNet Large Scale Visual Recognition Challenge
Their papers
- Distributionally Robust Logistic Regression (2015) — 353 citations
- Wasserstein Distributionally Robust Optimization: Theory and Applications in Machine Learning (2019) — 511 citations
- Regularization via Mass Transportation (2017) — 245 citations