4 papers
An Exploration of Multicalibration Uniform Convergence Bounds
Harrison Rosenberg, Robi Bhattacharjee, Kassem Fawaz +1
Recent works have investigated the sample complexity necessary for fair machine learning. The most advanced of such sample complexity bounds are developed by analyzing multicalibra…
Learning what to remember
Robi Bhattacharjee, Gaurav Mahajan
We consider a lifelong learning scenario in which a learner faces a neverending and arbitrary stream of facts and has to decide which ones to retain in its limited memory. We intro…
When are Non-Parametric Methods Robust?
Robi Bhattacharjee, Kamalika Chaudhuri
A growing body of research has shown that many classifiers are susceptible to {\em{adversarial examples}} -- small strategic modifications to test inputs that lead to misclassifica…
Optimally Perturbed Identity Matrices of Rank 2
Robi Bhattacharjee
The problem of optimal antipodal codes can be framed as finding low rank Gram matrices with and for . In 2018, Bukh and C…