activity
20222026
most citedStreaming Algorithms for Ellipsoidal Approximation of Convex Polytopes

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.DS2026

Computation and Applications of Euclidean and Normed Representations of Massive Data

Max Ovsiankin

This thesis investigates Euclidean-space and -norm representations of different forms of data, with a focus on efficient algorithms for computing these representations in s…

cs.DS2024

Approximation Algorithms for -Shortest Path and -Group Steiner Tree

Yury Makarychev, Max Ovsiankin, Erasmo Tani

We present polylogarithmic approximation algorithms for variants of the Shortest Path, Group Steiner Tree, and Group ATSP problems with vector costs. In these problems, each edge e…

cs.DS2023★ 1 cited

Near-Optimal Streaming Ellipsoidal Rounding for General Convex Polytopes

Yury Makarychev, Naren Sarayu Manoj, Max Ovsiankin

We give near-optimal algorithms for computing an ellipsoidal rounding of a convex polytope whose vertices are given in a stream. The approximation factor is linear in the dimension…

math.FA2023

The Change-of-Measure Method, Block Lewis Weights, and Approximating Matrix Block Norms

Naren Sarayu Manoj, Max Ovsiankin

Given a matrix , a partitioning of into groups , an outer norm , and a collection of inner norms such that either $p…

cs.DS2022★ 2 cited

Streaming Algorithms for Ellipsoidal Approximation of Convex Polytopes

Yury Makarychev, Naren Sarayu Manoj, Max Ovsiankin

We give efficient deterministic one-pass streaming algorithms for finding an ellipsoidal approximation of a symmetric convex polytope. The algorithms are near-optimal in that their…