MLBoost Seminars (5): Selection by Prediction with Conformal p-values

#datascience #conformalprediction #machinelearning 🚀 Join me for another exciting presentation on Conformal Prediction! 🌟 I am hosting Ying Jin from Stanford for a presentation on the channel 🎥: “Selecting Trusted Decisions from AI Black Boxes: Correcting 🔥🔥Conformal Prediction 🔥🔥 for Selective Guarantees”. Link to the paper in the comments section below. The work studies screening procedures, from hiring to drug discovery, that aim to select candidates whose unobserved outcomes exceed user-specified values. Building upon the conformal inference framework, it develops a method that wraps around any prediction model to produce a subset of candidates while controlling the proportion of falsely select Link to Paper: https://arxiv.org/abs/2210.01408