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stat.ML2026
Online Conformal Prediction for Non-Exchangeable Panel Data
Daohong Tu, Kay Giesecke
We study online conformal prediction in a partially observed panel: a new cross-section of peer outcomes is observed before each target outcome, target feedback may be intermittent…
stat.ML2025★ 1 cited
AICO: Feature Significance Tests for Supervised Learning
Kay Giesecke, Enguerrand Horel, Chartsiri Jirachotkulthorn
Machine learning is central to modern science, industry, and policy, yet its predictive power often comes at the cost of transparency: we rarely know which input features truly dri…