Nikos Parotsidis

Nikos Parotsidis

Nikos is a Research Scientist working on Machine Learning problems, Graph Problems, and their intersection.

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Authored Publications
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Correlation Clustering in Constant Many Parallel Rounds
Ashkan Norouzi Fard
Jakub Tarnawski
Nikos Parotsidis
Silvio Lattanzi
Slobodan Mitrović
Vincent Pierre Cohen-addad
ICML (2022) (to appear)
Online and Consistent Correlation Clustering
Andreas Maggiori
Nikos Parotsidis
Silvio Lattanzi
Vincent Pierre Cohen-addad
ICML 2022 (to appear)
Efficient and Stable Fully Dynamic Facility Location
Nikos Parotsidis
Sayan Bhattacharya
Silvio Lattanzi
NeurIPS (2022) (to appear)
Near-Optimal Correlation Clustering with Privacy
Ashkan Norouzi Fard
Chenglin Fan
Jakub Tarnawski
Nikos Parotsidis
Silvio Lattanzi
Slobodan Mitrović
Vincent Pierre Cohen-addad
NeurIPS 2022 (2022) (to appear)
Fitting Distances by Tree Metrics Minimizing the Total Error within a Constant Factor
Debarati Das
Evangelos Kipouridis
Mikkel Thorup
Nikos Parotsidis
Vincent Pierre Cohen-addad
FOCS 2021
Faster Algorithms for All-Pairs LCA in DAGs
Aleksander Łukasiewicz
Fabrizio Grandoni
Giuseppe F. Italiano
Nikos Parotsidis
Przemysław Uznański
SODA 2021 (to appear)
Planar Reachability Under Single Vertex or Edge Failures
Adam Karczmarz
Giuseppe F. Italiano
Nikos Parotsidis
SODA 2021 (to appear)
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