Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments
arXiv:2610.19104v1 Announce Type: new Abstract: Learning an individualized treatment rule (ITR) with many treatments requires estimating treatment-specific effects from limited observations per arm. Treatments with similar conditional responses can share information, but linear contrast models may…
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- 2026-10-15 04:00 · arXiv stat.ML
Neural Supervised Clustering for Learning Individualized Treatment Rules with Many Treatments