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20182022
most citedEfficient average-case population recovery in the presence of insertions and deletions

4 citations · 7 across the 6 of their papers we have counts for

collaborators

8 papers

cs.DS2022

Approximate Trace Reconstruction from a Single Trace

Xi Chen, Anindya De, Chin Ho Lee +2

The well-known trace reconstruction problem is the problem of inferring an unknown source string from independent "traces", i.e. copies of that have been corr…

cs.DS2021

Estimating the Longest Increasing Subsequence in Nearly Optimal Time

Alexandr Andoni, Negev Shekel Nosatzki, Sandip Sinha +1

Longest Increasing Subsequence (LIS) is a fundamental statistic of a sequence, and has been studied for decades. While the LIS of a sequence of length can be computed exactly i…

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.DS2020★ 2 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.DS2019★ 4 cited

Efficient average-case population recovery in the presence of insertions and deletions

Frank Ban, Xi Chen, Rocco A. Servedio +1

Several recent works have considered the \emph{trace reconstruction problem}, in which an unknown source string is transmitted through a probabilistic channel which…