Follow me on bluesky with the same handle Larsvanderlaan3!

In Poster Session 4 (4:30 pm - 7:30 pm PST), Lars van der Laan will present our work on combining model calibration and prediction intervals by integrating Venn-Abers into conformal prediction.

Causal machine learning for heterogeneous treatment effects in the presence of missing outcome data ift.tt/MGi4OSH

Excited to share our work on Double RL and long-term causal inference! This project grew out of my internship at Netflix last summer.

Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction ift.tt/96G7dx4

🚨 Excited about this new paper on Generalized Venn Calibration and conformal prediction! We show that Venn and Venn-Abers can be extended to general losses, and that conformal prediction can be viewed as Venn multicalibration for the quantile loss! #calibration #conformal

The paper "Generalized Venn and Venn-Abers Calibration with Applications in Conformal Prediction" by Lars van der Laan and Ahmed Alaa introduces a comprehensive framework that extends Venn and Venn-Abers calibration methods to a broad range of prediction tasks and loss functions.

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Excited to share that our paper on uncertainty-aware model calibration using generalized Venn–Abers methods was accepted to #ICML2025! We show that Vovk’s Venn–Abers calibration and conformal prediction are both special cases of a unified framework.