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Theoretical Analysis of Measure Consistency Regularization for Partially Observed Data
Yinsong Wang, Shahin Shahrampour
The problem of corrupted data, missing features, or missing modalities continues to plague the modern machine learning landscape. To address this issue, a class of regularization m…
TAP: The Attention Patch for Cross-Modal Knowledge Transfer from Unlabeled Modality
Yinsong Wang, Shahin Shahrampour
This paper addresses a cross-modal learning framework, where the objective is to enhance the performance of supervised learning in the primary modality using an unlabeled, unpaired…
Learning from Non-Random Data in Hilbert Spaces: An Optimal Recovery Perspective
Simon Foucart, Chunyang Liao, Shahin Shahrampour +1
The notion of generalization in classical Statistical Learning is often attached to the postulate that data points are independent and identically distributed (IID) random variable…
ORCCA: Optimal Randomized Canonical Correlation Analysis
Yinsong Wang, Shahin Shahrampour
Random features approach has been widely used for kernel approximation in large-scale machine learning. A number of recent studies have explored data-dependent sampling of features…