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The Selectively Adaptive Lasso


May 22, 2022
Alejandro Schuler, Mark van der Laan

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Multivariate Probabilistic Regression with Natural Gradient Boosting


Jun 07, 2021
Michael O'Malley, Adam M. Sykulski, Rick Lumpkin, Alejandro Schuler

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Bayesian prognostic covariate adjustment


Dec 24, 2020
David Walsh, Alejandro Schuler, Diana Hall, Jon Walsh, Charles Fisher

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* 28 pages, 11 figures 

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Increasing the efficiency of randomized trial estimates via linear adjustment for a prognostic score


Dec 17, 2020
Alejandro Schuler, David Walsh, Diana Hall, Jon Walsh, Charles Fisher

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Performance metrics for intervention-triggering prediction models do not reflect an expected reduction in outcomes from using the model


Jun 02, 2020
Alejandro Schuler, Aashish Bhardwaj, Vincent Liu

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NGBoost: Natural Gradient Boosting for Probabilistic Prediction


Oct 09, 2019
Tony Duan, Anand Avati, Daisy Yi Ding, Sanjay Basu, Andrew Y. Ng, Alejandro Schuler

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A comparison of methods for model selection when estimating individual treatment effects


Jun 13, 2018
Alejandro Schuler, Michael Baiocchi, Robert Tibshirani, Nigam Shah

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Synth-Validation: Selecting the Best Causal Inference Method for a Given Dataset


Oct 31, 2017
Alejandro Schuler, Ken Jung, Robert Tibshirani, Trevor Hastie, Nigam Shah

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Some methods for heterogeneous treatment effect estimation in high-dimensions


Jul 01, 2017
Scott Powers, Junyang Qian, Kenneth Jung, Alejandro Schuler, Nigam H. Shah, Trevor Hastie, Robert Tibshirani

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