Silvio Lattanzi

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My research interests are in the areas of algorithms, machine learning and information retrieval.

Papers84 papers

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Fully Dynamic Algorithm for Constrained Submodular Optimization

Lattanzi Silvio,Mitrović Slobodan,Norouzi-Fard Ashkan,Tarnawski Jakub,Zadimoghaddam Morteza

NeurIPS, (2020)

EIBibtex

Sliding Window Algorithms for k-Clustering Problems

Michele Borassi,Alessandro Epasto,Silvio Lattanzi,Sergei Vassilvitskii,Morteza Zadimoghaddam

(2020)

Bibtex

Consistent k-Clustering for General Metrics

Hendrik Fichtenberger,Silvio Lattanzi,Ashkan Norouzi-Fard,Ola Svensson

Bibtex

Secretaries with Advice

Paul Dütting,Silvio Lattanzi,Renato Paes Leme,Sergei Vassilvitskii

Bibtex

Fast and Accurate $k$-means++ via Rejection Sampling

Vincent Cohen-Addad,Silvio Lattanzi,Ashkan Norouzi-Fard,Christian Sohler,Ola Svensson

NeurIPS, (2020)

EIBibtex

Online Scheduling via Learned Weights

Silvio Lattanzi, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii

SODA '20: ACM-SIAM Symposium on Discrete Algorithms Salt Lake City Utah Janua..., pp.1859-1877, (2020)

Cited by5EIBibtex

Exact Recovery of Mangled Clusters with Same-Cluster Queries

Bressan Marco,Cesa-Bianchi Nicolò,Lattanzi Silvio,Paudice Andrea

NeurIPS, (2020)

EIBibtex

InstantEmbedding: Efficient Local Node Representations

Ştefan Postăvaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian,Silvio Lattanzi, Bryan Perozzi

Bibtex

Online MAP Inference of Determinantal Point Processes

Aditya Bhaskara,Amin Karbasi,Silvio Lattanzi,Morteza Zadimoghaddam

NeurIPS, (2020)

EIBibtex

Fast and Accurate kkk-means++ via Rejection Sampling

Vincent Cohen-Addad,Silvio Lattanzi,Ashkan Norouzi-Fard,Christian Sohler,Ola Svensson

NeurIPS 2020, (2020)

Bibtex

Sliding Window Algorithms for k-Clustering Problems

Borassi Michele,Epasto Alessandro,Lattanzi Silvio,Vassilvitskii Sergei,Zadimoghaddam Morteza

NeurIPS, (2020)

EIBibtex

Consistent Online Optimization: Convex and Submodular

Mohammad Reza Karimi Jaghargh,Andreas Krause,Silvio Lattanzi,Sergei Vassilvtiskii

international conference on artificial intelligence and statistics, (2019)

Cited by1EIBibtex

Introduction to the Special Issue for SPAA'17

Mohammad Hossein Bateni,Mohammad Taghi Hajiaghayi,Silvio Lattanzi

TOPC, no. 3 (2019)

Cited by1EIBibtex

A Framework for Parallelizing Hierarchical Clustering Methods

Benjamin Moseley, Kefu Lu,Silvio Lattanzi, Thomas Lavastida

(2019)

Bibtex

Matroids, Matchings, and Fairness

Flavio Chierichetti,Ravi Kumar,Silvio Lattanzi,Sergei Vassilvtiskii

international conference on artificial intelligence and statistics, (2019)

Cited by10EIBibtex

Residual Based Sampling for Online Low Rank Approximation

Aditya Bhaskara,Silvio Lattanzi,Sergei Vassilvitskii,Morteza Zadimoghaddam

2019 IEEE 60TH ANNUAL SYMPOSIUM ON FOUNDATIONS OF COMPUTER SCIENCE (FOCS 2019), pp.1596.0-1614, (2019)

Cited by1EIBibtex

Better Sliding Windows Algorithms for Subadditive and Diversity Maximization

Michele Borassi,Alessandro Epasto,Silvio Lattanzi,Sergei Vassilvitskii,Morteza Zadimoghaddam

symposium on principles of database systems, (2019)

Bibtex

Improved Parallel Algorithms for Density-Based Network Clustering

Mohsen Ghaffari,Silvio Lattanzi,Slobodan Mitrović

international conference on machine learning, (2019)

Cited by12EIBibtex

A Better k-means++ Algorithm via Local Search

Silvio Lattanzi,Christian Sohler

international conference on machine learning, (2019)

Cited by3EIBibtex

Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives

Michele Borassi,Alessandro Epasto,Silvio Lattanzi,Sergei Vassilvitskii,Morteza Zadimoghaddam

Proceedings of the 38th ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems, pp.254-268, (2019)

Cited by1EIBibtex

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