Susan M. Shortreed

Statistics and Probability · 2010–2016

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 11 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 57 citations into it; #4,027 of 12,932 by trust here, #2,023 by citations
• Artificial Intelligence — 17 citations into it
• Reinforcement Learning — 15 citations into it; #1,678 of 2,242 by trust here, #1,055 by citations
• Economics and Econometrics — 13 citations into it; #6,650 of 23,481 by trust here, #5,336 by citations
• Psychiatry and Mental health — 11 citations into it; #742 of 1,338 by trust here, #1,291 by citations
• Pharmacology — 8 citations into it
• Philosophy — 6 citations into it
• Causal Inference & Discovery — 5 citations into it

Whom Susan M. Shortreed trusts overall

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

1. Joseph L. Schafer
2. Susan A. Murphy
3. S. van Buuren
4. James M. Robins
5. T. Scott Stroup
6. Donald B. Rubin
7. Richard S. Sutton
8. M. J. van der Laan
9. Eric B. Laber
10. Bradley Efron

Who trusts Susan M. Shortreed overall

1. Eric B. Laber
2. Daniel J. Lizotte
3. Chao Yu
4. Wei Zhang
5. Michael R. Kosorok
6. Emily L Butler
7. Ying‐Qi Zhao
8. Sergey Levine
9. Vukosi Marivate
10. Jiming Liu

Papers from Susan M. Shortreed's perspective

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

1. Reinforcement Learning: An Introduction
2. ImageNet classification with deep convolutional neural networks
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. The Elements of Statistical Learning
5. Reinforcement Learning: A Survey
6. Least-Squares Policy Iteration
7. Gradient-based learning applied to document recognition
8. Bagging Predictors
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Regression Shrinkage and Selection via the Lasso

Their papers

• Informing sequential clinical decision-making through reinforcement learning: an empirical study (2010) — 223 citations
• Estimating the optimal dynamic antipsychotic treatment regime: Evidence from the sequential multiple assignment randomized CATIE Schizophrenia Study (2012) — 48 citations
• Q-learning Residual Analysis: Application to The Effectiveness of Sequences of Antipsychotic Medications for Patients with Schizophrenia (2016) — 19 citations