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Quentin Chu

2 accepted papers

2025

Mixed-curvature decision trees and random forests

ICML 2025poster

Decision trees (DTs) and their random forest (RF) extensions are workhorses of classification and regression in Euclidean spaces. However, algorithms for learning in non-Euclidean spaces are still limited. We extend DT and RF algorithms to product manifolds: Cartesian products of several hyperbolic,…

2024

Estimating the Hallucination Rate of Generative AI

NeurIPS 2024poster

This paper presents a method for estimating the hallucination rate for in-context learning (ICL) with generative AI. In ICL, a conditional generative model (CGM) is prompted with a dataset and a prediction question and asked to generate a response. One interpretation of ICL assumes that the CGM comp…

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