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07/05/2021
Statistical Theory for Imbalanced Binary Classification
Within the vast body of statistical theory developed for binary classifi...
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05/26/2020
Class-Weighted Classification: Trade-offs and Robust Approaches
We address imbalanced classification, the problem in which a label may h...
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04/09/2020
Multiclass Classification via Class-Weighted Nearest Neighbors
We study statistical properties of the k-nearest neighbors algorithm for...
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10/22/2018
Adversarial Risk Bounds for Binary Classification via Function Transformation
We derive new bounds for a notion of adversarial risk, characterizing th...
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06/13/2018
A theory of maximum likelihood for weighted infection graphs
We study the problem of parameter estimation based on infection data fro...
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11/01/2016
Computationally Efficient Influence Maximization in Stochastic and Adversarial Models: Algorithms and Analysis
We consider the problem of influence maximization in fixed networks, for...
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10/19/2015