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stat.ML2026
CONTRA: Conformal Prediction Region via Normalizing Flow Transformation
Zhenhan Fang, Aixin Tan, Jian Huang
Density estimation and reliable prediction regions for outputs are crucial in supervised and unsupervised learning. While conformal prediction effectively generates coverage-guaran…
stat.ML2026
TRACE: Transport Alignment Conformal Prediction via Diffusion and Flow Matching Models
Zhenhan Fang, Aixin Tan, Jian Huang
Constructing valid and informative conformal prediction regions for multi-dimensional outputs remains a fundamental challenge. While conformal prediction provides finite-sample, di…
stat.ML2023
Conditional Stochastic Interpolation for Generative Learning
Ding Huang, Jian Huang, Ting Li +1
We propose a conditional stochastic interpolation (CSI) method for learning conditional distributions. CSI is based on estimating probability flow equations or stochastic different…