Author

Yinsong Wang

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Preprint Oct 2026

Scalable and Adaptive Distribution Regression via Random Features

Distribution regression seeks to learn mappings from probability distributions to response variables and has emerged as a unifying framework for kernel methods, multi-instance learning, and set-valued learning. Despite its success, kernel-based distribution regression remains computationally expensive and sensitive to...

Yin-Song Wang, Xiao Liu, Yu Ding · 0 citations

#machine learning Feb 2026

Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data

This paper offers theoretical insights into when MCR yields a more favorable finite-sample estimation-error upper bound, viewed through the lens of neural network distance, and proposes a novel practical diagnostic that leverages the duality gap and a calibrated drift estimator to infer the potential benefit of MCR tra...

Yinsong Wang, Shahin Shahrampour · arXiv.org · 0 citations