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NeurIPS 2026Chiang MaiCausal inference

Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates

Conditional counterfactual mean embeddings characterize counterfactual outcome distributions via RKHS embeddings, yielding doubly robust estimators with finite-sample convergence rates that recover multimodal structure.

Thatchanon Anancharoenkij, Donlapark Ponnoprat

Sydney Poster Session 3, Wed, Dec 9, 10:00 AM–1:00 PM, Hall 1-4 · Published 2026

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NeurIPS 2026Chiang MaiRIKENThe University of Tokyo / RIKEN Learning theory

Minimax Optimal Estimation of Transport-Growth Pairs in Unbalanced Optimal Transport

This paper develops minimax-optimal estimators for transport-growth pairs in unbalanced optimal transport and proves matching lower bounds via a stability reduction.

Donlapark Ponnoprat, Noboru Isobe, Masaaki Imaizumi

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

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AI panel: 7 of 20 reviewers recommend it
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medium 3/10
strict 2/5