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20172021
most citedSample-based high-dimensional convexity testing

8 citations · 27 across the 13 of their papers we have counts for

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12 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.DS2021

Near-Optimal Average-Case Approximate Trace Reconstruction from Few Traces

Xi Chen, Anindya De, Chin Ho Lee +2

In the standard trace reconstruction problem, the goal is to \emph{exactly} reconstruct an unknown source string from independent "traces", which are cop…

cs.DS2020

Polynomial-time trace reconstruction in the low deletion rate regime

Xi Chen, Anindya De, Chin Ho Lee +2

In the \emph{trace reconstruction problem}, an unknown source string is transmitted through a probabilistic \emph{deletion channel} which independently deletes ea…

cs.DS20202 cited

Polynomial-time trace reconstruction in the smoothed complexity model

Xi Chen, Anindya De, Chin Ho Lee +2

In the \emph{trace reconstruction problem}, an unknown source string is sent through a probabilistic \emph{deletion channel} which independently deletes each bit…

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.DS20191 cited

Smoothed complexity of local Max-Cut and binary Max-CSP

Xi Chen, Chenghao Guo, Emmanouil-Vasileios Vlatakis-Gkaragkounis +2

We show that the smoothed complexity of the FLIP algorithm for local Max-Cut is at most , where is the number of nodes in the graph and is a…