Deeksha Adil

activity

20192025

most citedFast, Provably convergent IRLS Algorithm for p-norm Linear Regression

14 citations · 18 across the 6 of their papers we have counts for

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Showing 2022Show all

2 papers · 1 filter

cs.DS2022

Fast Algorithms for $ℓ_{p}$ -Regression

Deeksha Adil, Rasmus Kyng, Richard Peng +1

The $ℓ_{p}$ -norm regression problem is a classic problem in optimization with wide ranging applications in machine learning and theoretical computer science. The goal is to comput…

math.OC2022★ 1 cited

Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities

Deeksha Adil, Brian Bullins, Arun Jambulapati +1

In this work, we present new simple and optimal algorithms for solving the variational inequality (VI) problem for $p^{t h}$ -order smooth, monotone operators -- a problem that gener…

Fast Algorithms for ℓp​-Regression

Optimal Methods for Higher-Order Smooth Monotone Variational Inequalities

Fast Algorithms for $ℓ_{p}$ -Regression