
Iván Díaz
@ildiazm
Statistician. Associate prof. at NYU Grossman Department of Population Health. Causal inference, machine learning, and semiparametric estimation.
ID: 714873918
https://idiazst.github.io/website/ 24-07-2012 20:23:30
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What are the differences between one-step estimation, Double ML, and Targeted ML? This commentary (Iván Díaz) and blog post (Mark van der Laan) provide an overview of the history of machine learning in semiparametrics. pubmed.ncbi.nlm.nih.gov/31742333/ vanderlaan-lab.org/2019/12/24/cv-…



Sorry to miss #SER2024 but we ♥️ the lmtp package and can’t wait to see what @nickWillyamz Kara Rudolph and Iván Díaz have in the pipeline. Thank you very much & also to Kat Hoffman for the great tutorials!


A tutorial on Longitudinal Modified Treatment Policies-- a flexible method for defining, identifying, and estimating causal parameters of interest-- is now in Epidemiology! 🔗journals.lww.com/epidem/abstrac… cc🌟coauthors: .diego.O' 🕊️ @nickWillyamz Kara Rudolph Iván Díaz



Excited to share that our paper "Self-Calibrating Conformal Prediction" with Ahmed Alaa is accepted at #NeurIPS2024! 🚀 We combine model calibration and prediction intervals by integrating Venn-Abers into conformal prediction. #conformal #calibration arxiv.org/abs/2402.07307