activity
20152021
most citedLearning and Testing Junta Distributions with Subcube Conditioning

6 citations · 9 across the 4 of their papers we have counts for

collaborators
Showing cs.DSShow all

6 papers · 1 filter

cs.DS2021

New Streaming Algorithms for High Dimensional EMD and MST

Xi Chen, Rajesh Jayaram, Amit Levi +1

We study streaming algorithms for two fundamental geometric problems: computing the cost of a Minimum Spanning Tree (MST) of an -point set , and com…

cs.DS2020

Erasure-Resilient Sublinear-Time Graph Algorithms

Amit Levi, Ramesh Krishnan S. Pallavoor, Sofya Raskhodnikova +1

We investigate sublinear-time algorithms that take partially erased graphs represented by adjacency lists as input. Our algorithms make degree and neighbor queries to the input gra…

cs.DS20206 cited

Learning and Testing Junta Distributions with Subcube Conditioning

Xi Chen, Rajesh Jayaram, Amit Levi +1

We study the problems of learning and testing junta distributions on with respect to the uniform distribution, where a distribution is a -junta if its probabili…

cs.DS2019

Random Restrictions of High-Dimensional Distributions and Uniformity Testing with Subcube Conditioning

Clément L. Canonne, Xi Chen, Gautam Kamath +2

We give a nearly-optimal algorithm for testing uniformity of distributions supported on , which makes queries to a subcube condition…

cs.DS20193 cited

Nearly optimal edge estimation with independent set queries

Xi Chen, Amit Levi, Erik Waingarten

We study the problem of estimating the number of edges of an unknown, undirected graph with access to an independent set oracle. When queried about a subset $S\subseteq…

cs.DS2018

Sublinear-Time Quadratic Minimization via Spectral Decomposition of Matrices

Amit Levi, Yuichi Yoshida

We design a sublinear-time approximation algorithm for quadratic function minimization problems with a better error bound than the previous algorithm by Hayashi and Yoshida (NIPS'1…