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stat.ML2026
Conditional Counterfactual Mean Embeddings: Doubly Robust Estimation and Learning Rates
Thatchanon Anancharoenkij, Donlapark Ponnoprat
A complete understanding of heterogeneous treatment effects involves characterizing the full conditional distribution of potential outcomes. To this end, we propose the Conditional…
stat.ML2025★ 2 cited
coverforest: Conformal Predictions with Random Forest in Python
Panisara Meehinkong, Donlapark Ponnoprat
Conformal prediction provides a framework for uncertainty quantification, specifically in the forms of prediction intervals and sets with distribution-free guaranteed coverage. Whi…
stat.ML2020
Universal consistency of Wasserstein -NN classifier: Negative and Positive Results
Donlapark Ponnoprat
The Wasserstein distance provides a notion of dissimilarities between probability measures, which has recent applications in learning of structured data with varying size such as i…