13 citations · 14 across the 2 of their papers we have counts for
4 papers
Class-Weighted Classification: Trade-offs and Robust Approaches
Ziyu Xu, Chen Dan, Justin Khim +1
We address imbalanced classification, the problem in which a label may have low marginal probability relative to other labels, by weighting losses according to the correct class. F…
Multiclass Classification via Class-Weighted Nearest Neighbors
Justin Khim, Ziyu Xu, Shashank Singh
We study statistical properties of the k-nearest neighbors algorithm for multiclass classification, with a focus on settings where the number of classes may be large and/or classes…
Adversarial Risk Bounds via Function Transformation
Justin Khim, Po-Ling Loh
We derive bounds for a notion of adversarial risk, designed to characterize the robustness of linear and neural network classifiers to adversarial perturbations. Specifically, we i…
A theory of maximum likelihood for weighted infection graphs
Justin Khim, Po-Ling Loh
We study the problem of parameter estimation based on infection data from an epidemic outbreak on a graph. We assume that successive infections occur via contagion; i.e., transmiss…