most citedcoverforest: Conformal Predictions with Random Forest in Python

2 citations · 2 across the 3 of their papers we have counts for

collaborators

6 papers

math.ST2026

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

Donlapark Ponnoprat, Noboru Isobe, Masaaki Imaizumi

Unbalanced optimal transport (UOT) extends classical optimal transport to measures with different total masses, but statistical guarantees for Monge-type estimation remain limited.…

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.ML20252 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…

math.ST2025

Minimax Rates of Estimation for Optimal Transport Map between Infinite-Dimensional Spaces

Donlapark Ponnoprat, Masaaki Imaizumi

We investigate the estimation of an optimal transport map between probability measures on an infinite-dimensional space and reveal its minimax optimal rate. Optimal transport theor…

cs.CR2025

Investigating Privacy Leakage in Dimensionality Reduction Methods via Reconstruction Attack

Chayadon Lumbut, Donlapark Ponnoprat

This study investigates privacy leakage in dimensionality reduction methods through a novel machine learning-based reconstruction attack. Employing an informed adversary threat mod…

cs.SI2025

Counting Graphlets of Size under Local Differential Privacy

Vorapong Suppakitpaisarn, Donlapark Ponnoprat, Nicha Hirankarn +1

The problem of counting subgraphs or graphlets under local differential privacy is an important challenge that has attracted significant attention from researchers. However, much o…