Ryan Carey

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Safety, Robustness & Interpretability — 10 citations into it
• Information Systems — 7 citations into it
• Management Science and Operations Research — 7 citations into it

Whom Ryan Carey trusts overall

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

1. Tom Everitt
2. A. P. Dawid
3. S. Omohundro
4. Christian P. Robert
5. Steffen L. Lauritzen
6. Judea Pearl
7. Peter M. Bentler
8. James Babcock

Papers from Ryan Carey's perspective

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

1. Causality : Models , Reasoning , and Inference
2. Matching Networks for One Shot Learning
3. DRAW: A Recurrent Neural Network For Image Generation
4. Deep Reinforcement Learning from Human Preferences (Neural Information Processing Systems)
5. Generative Adversarial Imitation Learning
6. ImageNet classification with deep convolutional neural networks
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Towards AI-Complete Question Answering: A Set of Prerequisite Toy Tasks
9. Direct and Indirect Effects
10. Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles

Their papers

• Agent Incentives: A Causal Perspective (2021) — 71 citations
• FHI Oxford Technical Report # 2018-2 Predicting Human Deliberative Judgments with Machine Learning (2018)