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Orthogonal Uplift Learning with Permutation-Invariant Representations for Combinatorial Treatments

Orthogonal uplift learning embeds combinatorial policies via permutation-invariant mixtures into low-rank models, yielding robust, stable effects robust to nuisance errors and rare policies.

Jiacan Gao, Xinyan Su, Mingyuan Ma, Xiao Xu and 5 more

Sydney Poster Session 1, Tue, Dec 8, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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AI panel: 6 of 20 reviewers recommend it
lenient 4/5
medium 2/10
strict 0/5