5 citations · 8 across the 7 of their papers we have counts for
8 papers
A Model-free Closeness-of-influence Test for Features in Supervised Learning
Mohammad Mehrabi, Ryan A. Rossi
Understanding the effect of a feature vector on the response value (label) is the cornerstone of many statistical learning problems. Ideally…
GRASP: A Goodness-of-Fit Test for Classification Learning
Adel Javanmard, Mohammad Mehrabi
Performance of classifiers is often measured in terms of average accuracy on test data. Despite being a standard measure, average accuracy fails in characterizing the fit of the mo…
Pearson Chi-squared Conditional Randomization Test
Adel Javanmard, Mohammad Mehrabi
Conditional independence (CI) testing arises naturally in many scientific problems and applications domains. The goal of this problem is to investigate the conditional independence…
Adversarial robustness for latent models: Revisiting the robust-standard accuracies tradeoff
Adel Javanmard, Mohammad Mehrabi
Over the past few years, several adversarial training methods have been proposed to improve the robustness of machine learning models against adversarial perturbations in the input…
Error-Correction for Sparse Support Recovery Algorithms
Mohammad Mehrabi, Aslan Tchamkerten
Consider the compressed sensing setup where the support of an -sparse -dimensional signal is to be recovered from linear measurements with a given algorithm. Su…
Fundamental Tradeoffs in Distributionally Adversarial Training
Mohammad Mehrabi, Adel Javanmard, Ryan A. Rossi +2
Adversarial training is among the most effective techniques to improve the robustness of models against adversarial perturbations. However, the full effect of this approach on mode…
Online Debiasing for Adaptively Collected High-dimensional Data with Applications to Time Series Analysis
Yash Deshpande, Adel Javanmard, Mohammad Mehrabi
Adaptive collection of data is commonplace in applications throughout science and engineering. From the point of view of statistical inference however, adaptive data collection ind…
Bounds on the Approximation Power of Feedforward Neural Networks
Mohammad Mehrabi, Aslan Tchamkerten, Mansoor I. Yousefi
The approximation power of general feedforward neural networks with piecewise linear activation functions is investigated. First, lower bounds on the size of a network are establis…