Ying‐Qi Zhao
Statistics and Probability · 2012–2018
A researcher in the Science corpus: 6 papers; trusts 48 researchers and is trusted by 34 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 101 citations into it; #1,366 of 12,932 by trust here, #1,603 by citations
- Artificial Intelligence — 23 citations into it; #14,497 of 35,345 by trust here, #21,316 by citations
- Economics and Econometrics — 18 citations into it
- Pharmacology — 18 citations into it
- Causal Inference & Discovery — 17 citations into it
- Medical & Health AI — 13 citations into it
- Experimental and Cognitive Psychology — 12 citations into it; #950 of 9,731 by trust here, #2,347 by citations
- Reinforcement Learning — 11 citations into it
Whom Ying‐Qi Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Susan A. Murphy
- James M. Robins
- Eric B. Laber
- Baqun Zhang
- Philip W. Lavori
- Eric R. Ziegel
- Anastasios A. Tsiatis
- R. Dawson
- Donald B. Rubin
- Ingo Steinwart
Who trusts Ying‐Qi Zhao overall
- Eric B. Laber
- Michael R. Kosorok
- Kristin A. Linn
- Ying Liu
- Yuanjia Wang
- Xinkun Nie
- Yichi Zhang
- Stefan Wager
- Susan Athey
- Kyle Humphrey
Papers from Ying‐Qi Zhao's perspective
Ordered by how strongly the researchers Ying‐Qi Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- Reinforcement Learning: An Introduction
- ImageNet classification with deep convolutional neural networks
- The Elements of Statistical Learning
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The Nature of Statistical Learning Theory
- Support-Vector Networks
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Optimal Structural Nested Models for Optimal Sequential Decisions
Their papers
- Estimating Individualized Treatment Rules Using Outcome Weighted Learning (2012) — 805 citations
- New Statistical Learning Methods for Estimating Optimal Dynamic Treatment Regimes (2015) — 263 citations
- Inference for Optimal Dynamic Treatment Regimes Using an Adaptive m‐Out‐of‐n Bootstrap Scheme (2013) — 131 citations
- Augmented outcome-weighted learning for estimating optimal dynamic treatment regimens (2018) — 95 citations
- Robust Hybrid Learning for Estimating Personalized Dynamic Treatment Regimens (2016) — 34 citations
- Estimation of Optimal Dynamic Treatment Regimes (2014) — 29 citations