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03/24/2023
The Exact Sample Complexity Gain from Invariances for Kernel Regression on Manifolds
In practice, encoding invariances into models helps sample complexity. I...
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12/06/2020
Counting Substructures with Higher-Order Graph Neural Networks: Possibility and Impossibility Results
While massage passing based Graph Neural Networks (GNNs) have become inc...
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08/03/2019
Private Sequential Function Computation
In this paper, we introduce the problem of private sequential function c...
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08/10/2018
Genome-Wide Association Studies: Information Theoretic Limits of Reliable Learning
In the problems of Genome-Wide Association Study (GWAS), the objective i...
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07/14/2018
On the Identifiability of Finite Mixtures of Finite Product Measures
The problem of identifiability of finite mixtures of finite product meas...
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07/09/2018