Angela Zhou

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 5 papers; trusts 56 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 47 citations into it; #20,607 of 35,345 by trust here, #23,731 by citations
• Statistics and Probability — 36 citations into it; #3,490 of 12,932 by trust here, #2,965 by citations
• Management Science and Operations Research — 20 citations into it; #6,317 of 11,946 by trust here, #7,638 by citations
• Safety, Robustness & Interpretability — 18 citations into it
• Safety Research — 16 citations into it
• Sociology and Political Science — 12 citations into it
• Causal Inference & Discovery — 11 citations into it; #230 of 364 by trust here, #311 by citations
• Evaluation & Benchmarks — 11 citations into it

Whom Angela Zhou trusts overall

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

1. Nathan Kallus
2. Adith Swaminathan
3. Donald B. Rubin
4. Thorsten Joachims
5. Stefan Wager
6. J. Langford
7. Susan Athey
8. Peter L. Bartlett
9. Yuhai Wu
10. James M. Robins

Who trusts Angela Zhou overall

1. Nathan Kallus
2. Andrew Bennett
3. Jacob Dorn
4. Susan Athey
5. Xinkun Nie
6. Amanda Coston
7. Niki Kilbertus
8. Stefan Wager
9. Kevin Guo

Papers from Angela Zhou's perspective

Ordered by how strongly the researchers Angela Zhou 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. Gradient-based learning applied to document recognition
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Reinforcement Learning: An Introduction
6. Attention is All you Need (Neural Information Processing Systems)
7. Long Short-Term Memory
8. Learning Multiple Layers of Features from Tiny Images
9. Regression Shrinkage and Selection via the Lasso
10. ImageNet: A large-scale hierarchical image database

Their papers

• It's COMPASlicated: The Messy Relationship between RAI Datasets and Algorithmic Fairness Benchmarks (2021) — 118 citations
• Policy Evaluation and Optimization with Continuous Treatments (2018) — 157 citations
• Confounding-Robust Policy Improvement (2018) — 174 citations
• Residual Unfairness in Fair Machine Learning from Prejudiced Data (2018) — 144 citations
• Do the right thing ” : machine learning and causal inference for improved decision making