Ping-Shou Zhong

2 accepted papers

2026

Adaptive Multiscale Binary Expansion Tests for Independence

Yang Yang, Duo Zheng, Sandeep Jain, Kai Zhang, Ping-Shou Zhong

ICML 2026poster

This paper introduces a new family of adaptive, distribution-free independence tests for multivariate random vectors based on binary expansion coefficients, supported by a tractable asymptotic theory. Our first key contribution establishes a general equivalence between independence testing and testi…

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2025

Testing Conditional Independence with Deep Neural Network Based Binary Expansion Testing (DeepBET)

Yang Yang, Kai Zhang, Ping-Shou Zhong

AISTATS 2025poster

This paper focuses on testing conditional independence between two random variables ($X$ and $Y$) given a set of high-dimensional confounding variables ($Z$). The high dimensionality of these confounding variables presents a challenge, often resulting in inflated type-I errors or insufficient power…

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