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Zhengyang Hu

2 accepted papers

2026

A Foundation-style Model for Zero-Shot Statistical Dependency Measurement

ICML 2026poster

Measuring statistical dependency between high-dimensional random variables is a fundamental task in data science and machine learning. Neural mutual information (MI) estimators offer a promising avenue, but they typically require costly test-time training for each new dataset, making them impractica…

Cited by 0SourceScholar
2024

InfoNet: Neural Estimation of Mutual Information without Test-Time Optimization

ICML 2024oral

Estimating mutual correlations between random variables or data streams is essential for intelligent behavior and decision-making. As a fundamental quantity for measuring statistical relationships, mutual information has been extensively studied and utilized for its generality and equitability. Howe…

Cited by 5SourcePDFScholar