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MEDAL: Manifold Embedding Distillation via Autoencoder Learning
Irene Chang, Tarek M. Zikry, Genevera I. Allen
Low-dimensional embeddings are widely used as visual summaries of high-dimensional data and to enable downstream scientific discoveries. Yet, popular nonlinear dimension reduction…
Group-Aware Matrix Estimation and Latent Subspace Recovery
Hamza Golubovic, Matthew Shen, Genevera I. Allen +1
Modern matrix completion problems often involve heterogeneous data whose rows simultaneously belong to many meta-categories, such as demographic and age groups in recommendation sy…
Are machine learning interpretations reliable? A stability study on global interpretations
Luqin Gan, Tarek M. Zikry, Genevera I. Allen
As machine learning systems are increasingly used in high-stakes domains, there is a growing emphasis placed on making them interpretable to improve trust in these systems. In resp…