Yebin Tao
Statistics and Probability · 2018
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 16 citations into it; #10,334 of 12,932 by trust here, #12,603 by citations
- Causal Inference & Discovery — 7 citations into it
Whom Yebin Tao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- James M. Robins
- Susan A. Murphy
- Niko Speybroeck
- Richard S. Sutton
- Trevor J. Hastie
- Andrew Barto
- Miguel A. Hern'an
- Donald B. Rubin
- Erica E. Moodie
- R. Rivest
Who trusts Yebin Tao overall
Papers from Yebin Tao's perspective
Ordered by how strongly the researchers Yebin Tao trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- Causal Inference from Complex Longitudinal Data
- Optimal Structural Nested Models for Optimal Sequential Decisions
- Random Forests
- A new approach to causal inference in mortality studies with a sustained exposure period—application to control of the healthy worker survivor effect
- Regression Shrinkage and Selection via the Lasso
- Statistical Methods for Dynamic Treatment Regimes: Reinforcement Learning, Causal Inference, and Personalized Medicine
- Optimal dynamic treatment regimes
- Correcting for non-compliance in randomized trials using structural nested mean models
- Classification and regression trees
Their papers
- TREE-BASED REINFORCEMENT LEARNING FOR ESTIMATING OPTIMAL DYNAMIC TREATMENT REGIMES (2018) — 59 citations