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Shantanu Jain

2 accepted papers

2023

Leveraging Structure for Improved Classification of Grouped Biased Data

AAAI 2023technical

We consider semi-supervised binary classification for applications in which data points are naturally grouped (e.g., survey responses grouped by state) and the labeled data is biased (e.g., survey respondents are not representative of the population). The groups overlap in the feature space and cons…

2016

Estimating the class prior and posterior from noisy positives and unlabeled data

NeurIPS 2016poster

We develop a classification algorithm for estimating posterior distributions from positive-unlabeled data, that is robust to noise in the positive labels and effective for high-dimensional data. In recent years, several algorithms have been proposed to learn from positive-unlabeled data; however, ma…

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