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Yuanzhe Ma

2 accepted papers

2024

Adaptive Labeling for Efficient Out-of-distribution Model Evaluation

NeurIPS 2024poster

Datasets often suffer severe selection bias; clinical labels are only available on patients for whom doctors ordered medical exams. To assess model performance outside the support of available data, we present a computational framework for adaptive labeling, providing cost-efficient model evaluation…

Cited by 0SourcePDFScholar
2022

Hybrid Random Features

ICLR 2022poster

We propose a new class of random feature methods for linearizing softmax and Gaussian kernels called hybrid random features (HRFs) that automatically adapt the quality of kernel estimation to provide most accurate approximation in the defined regions of interest. Special instantiations of HRFs lead…