Ashesh Rambachan

Statistics and Probability · 2020–2021

A researcher in the Science corpus: 2 papers; trusts 30 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 27 citations into it
• Artificial Intelligence — 25 citations into it
• Safety, Robustness & Interpretability — 16 citations into it
• Safety Research — 15 citations into it
• Causal Inference & Discovery — 12 citations into it
• AI Ethics, Fairness & Society — 11 citations into it
• Economics and Econometrics — 11 citations into it
• Evaluation & Benchmarks — 5 citations into it

Whom Ashesh Rambachan trusts overall

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

1. Cynthia Rudin
2. Donald B. Rubin
3. Paul Holland
4. Jeffrey M. Wooldridge
5. T. L. Lai Andherbertrobbins
6. Mélanie Frappier
7. Solon Barocas
8. James M. Robins
9. Andrew D. Selbst
10. Jiayun Dong

Who trusts Ashesh Rambachan overall

1. C. Chaisemartin

Papers from Ashesh Rambachan's perspective

Ordered by how strongly the researchers Ashesh Rambachan 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Gradient-based learning applied to document recognition
5. Long Short-Term Memory
6. Fairness through awareness
7. Learning Multiple Layers of Features from Tiny Images
8. Equality of Opportunity in Supervised Learning
9. Attention is All you Need (Neural Information Processing Systems)
10. ImageNet: A large-scale hierarchical image database

Their papers

• Panel experiments and dynamic causal effects: A finite population perspective (2020) — 57 citations
• Characterizing Fairness Over the Set of Good Models Under Selective Labels (2021) — 101 citations