Greg Lewis
Statistics and Probability · 2016–2017
A researcher in the Science corpus: 2 papers; trusts 21 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 24 citations into it
- Artificial Intelligence — 16 citations into it; #29,715 of 35,345 by trust here, #27,551 by citations
- Causal Inference & Discovery — 11 citations into it; #252 of 364 by trust here, #191 by citations
- Optimization & Training — 11 citations into it
- Management Science and Operations Research — 9 citations into it
- Economics and Econometrics — 5 citations into it
Whom Greg Lewis trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Xiaohong Chen
- Radford M. Neal
- Stefan Wager
- John C. Duchi
- Guido W. Imbens
- Whitney K. Newey
- L. Eon Bottou
- Richard Blundell
- Donald B. Rubin
- Susan Athey
Who trusts Greg Lewis overall
Papers from Greg Lewis's perspective
Ordered by how strongly the researchers Greg Lewis 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)
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
- Long Short-Term Memory
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Counterfactual Prediction with Deep Instrumental Variables Networks (2016) — 48 citations
- Deep IV: A Flexible Approach for Counterfactual Prediction (2017) — 362 citations