Zachary Shahn

Causal Inference & Discovery · 2020

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Causal Inference & Discovery — 9 citations into it
• Statistics and Probability — 8 citations into it

Whom Zachary Shahn trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. James M. Robins
2. Miguel A. Hern'an
3. Yarin Gal
4. Stijn Vansteelandt
5. Peter F. Schulam
6. Liliana Orellana
7. Peter Spirtes
8. Jessica G. Young
9. Zoubin Ghahramani
10. M. Joffe

Papers from Zachary Shahn's perspective

Ordered by how strongly the researchers Zachary Shahn trusts endorse each paper. Same corpus, a different order for every researcher.

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Intervening on risk factors for coronary heart disease: an application of the parametric g-formula.
4. Long Short-Term Memory
5. Gradient-based learning applied to document recognition
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Learning Multiple Layers of Features from Tiny Images
8. Reinforcement Learning: An Introduction
9. ImageNet: A large-scale hierarchical image database
10. A Theoretically Grounded Application of Dropout in Recurrent Neural Networks

Their papers

• G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes (2020) — 22 citations