Hassan Mortagy
Optimization & Training · 2020
A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 15 citations into it
- Computational Mechanics — 10 citations into it
- Artificial Intelligence — 9 citations into it
- Numerical Analysis — 7 citations into it
Whom Hassan Mortagy trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Amir Beck
- Cyrille W. Combettes
- Hamed Karimi
- Martin Jaggi
- Sebastian Pokutta
- Boris Polyak
- Marc Teboulle
- Philip Wolfe
- Guanghui Lan
- Julie Nutini
Papers from Hassan Mortagy's perspective
Ordered by how strongly the researchers Hassan Mortagy trusts endorse each paper. Same corpus, a different order for every researcher.
- An algorithm for quadratic programming
- Revisiting Frank-Wolfe: Projection-Free Sparse Convex Optimization
- ImageNet classification with deep convolutional neural networks
- Mirror descent and nonlinear projected subgradient methods for convex optimization
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- On the Global Linear Convergence of Frank-Wolfe Optimization Variants
- Learning Multiple Layers of Features from Tiny Images
- Regression Shrinkage and Selection via the Lasso
- Rates of convergence for conditional gradient algorithms near singular and nonsingular extremals