1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.LG2021
L1 Regression with Lewis Weights Subsampling
Aditya Parulekar, Advait Parulekar, Eric Price
We consider the problem of finding an approximate solution to regression while only observing a small number of labels. Given an unlabeled data matrix , we…
cs.LG2020★ 1 cited
Stochastic Linear Bandits with Protected Subspace
Advait Parulekar, Soumya Basu, Aditya Gopalan +2
We study a variant of the stochastic linear bandit problem wherein we optimize a linear objective function but rewards are accrued only orthogonal to an unknown subspace (which we…