Andre Milzarek
Optimization & Training · 2018
A researcher in the Science corpus: 1 paper; trusts 21 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Optimization & Training — 36 citations into it
- Computational Mechanics — 35 citations into it
- Artificial Intelligence — 33 citations into it
- Management Science and Operations Research — 11 citations into it
Whom Andre Milzarek trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Zeyuan Allen-Zhu
- Tong Zhang
- Shai Shalev-Shwartz
- Yurii E. Nesterov
- Saeed Ghadimi
- Richard H. Byrd
- Farbod Roosta-Khorasani
- Francis R. Bach
- Elad Hazan
- L. Eon Bottou
Who trusts Andre Milzarek overall
Papers from Andre Milzarek's perspective
Ordered by how strongly the researchers Andre Milzarek 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
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
Their papers
- A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (2018) — 38 citations