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09/19/2023
Prominent Roles of Conditionally Invariant Components in Domain Adaptation: Theory and Algorithms
Domain adaptation (DA) is a statistical learning problem that arises whe...
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08/06/2023
The Effect of SGD Batch Size on Autoencoder Learning: Sparsity, Sharpness, and Feature Learning
In this work, we investigate the dynamics of stochastic gradient descent...
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03/04/2020
Transformation Importance with Applications to Cosmology
Machine learning lies at the heart of new possibilities for scientific d...
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06/11/2019
Statistical guarantees for local graph clustering
Local graph clustering methods aim to find small clusters in very large ...
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09/13/2017
