Ph.D. student in Statistics at the University of Washington, Seattle. Working on causal inference and debiased/targeted machine learning.
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University of Washington
- Seattle
- https://larsvanderlaan.github.io
- @LarsvanderLaan3
- in/lars-van-der-laan-32367615b
Pinned Loading
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causalCalibration
causalCalibration PublicCode for causal isotonic calibration for heterogeneous treatment effects (appeared in ICML, 2023)
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SelfCalibratingConformal
SelfCalibratingConformal PublicAn implementation of Self-Calibrating Conformal Prediction, accepted to Neurips 2024. SC-CP combines Venn-Abers calibration and conformal prediction to deliver calibrated point predictions alongsid…
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AdaptiveDML
AdaptiveDML PublicAdaptive debiased machine learning of treatment effects with the highly adaptive lasso
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65 contributions in the last year
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