Qingyuan Zhao
Statistics and Probability · 2015–2022
A researcher in the Science corpus: 10 papers; trusts 105 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 163 citations into it; #1,899 of 12,932 by trust here, #2,531 by citations
- Genetics — 93 citations into it; #2,599 of 6,854 by trust here, #3,711 by citations
- Causal Inference & Discovery — 50 citations into it; #211 of 364 by trust here, #295 by citations
- Artificial Intelligence — 34 citations into it; #19,003 of 35,345 by trust here, #25,809 by citations
- Economics and Econometrics — 23 citations into it
- Statistical and Nonlinear Physics — 16 citations into it
- Statistical Learning Theory — 15 citations into it
- Management Science and Operations Research — 15 citations into it
Whom Qingyuan Zhao trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Donald B. Rubin
- Paul R. Rosenbaum
- James M. Robins
- Guido W. Imbens
- Eric R. Ziegel
- Zhiqiang Tan
- George Davey Smith
- Jerome H. Friedman
- Joseph Kang
- José R. Zubizarreta
Who trusts Qingyuan Zhao overall
- José R. Zubizarreta
- Yixin Wang
- J. Bowden
- Nathan Kallus
- Atoosa Kasirzadeh
- Shu Yang
- Gibran Hemani
- Jacob Dorn
- Leilani H. Gilpin
- Filip Klubicka
Papers from Qingyuan Zhao's perspective
Ordered by how strongly the researchers Qingyuan Zhao trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- The central role of the propensity score in observational studies for causal effects
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- Gradient-based learning applied to document recognition
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Entropy Balancing is Doubly Robust (2015) — 392 citations
- Covariate balancing propensity score by tailored loss functions (2016) — 165 citations
- Sensitivity analysis for inverse probability weighting estimators via the percentile bootstrap (2017) — 169 citations
- Improving the accuracy of two-sample summary-data Mendelian randomization: moving beyond the NOME assumption (2018) — 879 citations
- Statistical inference in two-sample summary-data Mendelian randomization using robust adjusted profile score (2018) — 795 citations
- Two-Sample Instrumental Variable Analyses Using Heterogeneous Samples (2017) — 55 citations
- Mendelian randomization (2022) — 1,280 citations
- CAUSAL INTERPRETATIONS OF BLACK-BOX MODELS (2019) — 442 citations
- On Sensitivity Value of Pair-Matched Observational Studies (2017) — 54 citations
- SEISMIC: A Self-Exciting Point Process Model for Predicting Tweet Popularity (2015) — 704 citations