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Outlier-resilient model fitting via percentile losses: Methods for general and convex residuals
We consider the problem of robustly fitting a model to data that includes outliers by formulating a percentile optimization problem.
Robust Target Localization in 2D: A Value-at-Risk Approach
To study the VaR formulation, we start by designing a majorizer set that contains any solution of a general percentile problem.
Distributed detection of ARMA signals
While regime (a) spans staple results in large deviation theory, regime (b) is new in distributed detection and is elicited by the ARMA setup.
Graph Fourier Transform: A Stable Approximation
The (right) eigenvectors of the shift $A$ (graph spectral components) diagonalize $A$ and lead to a graph Fourier basis $F$ that provides a graph spectral representation of the graph signal.
