Yi Guo
Statistics and Probability · npj Digit. Medicine · 2013–2023
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 22 citations into it
- Causal Inference & Discovery — 11 citations into it
Whom Yi Guo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Yi Guo's perspective
Ordered by how strongly the researchers Yi Guo trusts endorse each paper. Same corpus, a different order for every researcher.
- Causality : Models , Reasoning , and Inference
- Causal inference and the data-fusion problem
- Causal diagrams for empirical research
- Counterfactual Fairness (Neural Information Processing Systems)
- Estimating causal effects from epidemiological data (Journal of Epidemiology and Community Health)
- Targeted Learning: Causal Inference for Observational and Experimental Data
- Language Models are Few-Shot Learners (Neural Information Processing Systems)
- Estimating individual treatment effect: generalization bounds and algorithms
- Targeted Maximum Likelihood Learning
- The Curious Case of Neural Text Degeneration
Their papers
- Causal inference and counterfactual prediction in machine learning for actionable healthcare (2020) — 432 citations
- A study of generative large language model for medical research and healthcare (2023) — 463 citations
- Selecting a sample size for studies with repeated measures (2013) — 364 citations