Articles with public access mandates - Silvio LattanziLearn more
Not available anywhere: 1
Fully Dynamic k-Center Clustering with Outliers
THH Chan, S Lattanzi, M Sozio, B Wang
International Computing and Combinatorics Conference, 150-161, 2022
Mandates: Research Grants Council, Hong Kong
Available somewhere: 46
Fair clustering through fairlets
F Chierichetti, R Kumar, S Lattanzi, S Vassilvitskii
Advances in neural information processing systems 30, 2017
Mandates: European Commission
Linking users across domains with location data: Theory and validation
C Riederer, Y Kim, A Chaintreau, N Korula, S Lattanzi
Proceedings of the 25th international conference on world wide web, 707-719, 2016
Mandates: US National Science Foundation
Online scheduling via learned weights
S Lattanzi, T Lavastida, B Moseley, S Vassilvitskii
Proceedings of the Fourteenth Annual ACM-SIAM Symposium on Discrete …, 2020
Mandates: US National Science Foundation
Efficient densest subgraph computation in evolving graphs
A Epasto, S Lattanzi, M Sozio
Proceedings of the 24th international conference on world wide web, 300-310, 2015
Mandates: Government of Italy
Affinity clustering: Hierarchical clustering at scale
MH Bateni, S Behnezhad, M Derakhshan, MT Hajiaghayi, R Kiveris, ...
Advances in Neural Information Processing Systems 30, 2017
Mandates: US National Science Foundation, US Department of Defense
Submodular streaming in all its glory: Tight approximation, minimum memory and low adaptive complexity
E Kazemi, M Mitrovic, M Zadimoghaddam, S Lattanzi, A Karbasi
International Conference on Machine Learning, 3311-3320, 2019
Mandates: US Department of Defense
On sampling nodes in a network
F Chiericetti, A Dasgupta, R Kumar, S Lattanzi, T Sarlós
Proceedings of the 25th International Conference on World Wide Web, 471-481, 2016
Mandates: European Commission
Ego-net community mining applied to friend suggestion
A Epasto, S Lattanzi, V Mirrokni, IO Sebe, A Taei, S Verma
Proceedings of the VLDB Endowment 9 (4), 324-335, 2015
Mandates: Government of Italy
Matroids, matchings, and fairness
F Chierichetti, R Kumar, S Lattanzi, S Vassilvtiskii
The 22nd international conference on artificial intelligence and statistics …, 2019
Mandates: European Commission
Improved parallel algorithms for density-based network clustering
M Ghaffari, S Lattanzi, S Mitrović
International Conference on Machine Learning, 2201-2210, 2019
Mandates: Swiss National Science Foundation
One-shot coresets: The case of k-clustering
O Bachem, M Lucic, S Lattanzi
International conference on artificial intelligence and statistics, 784-792, 2018
Mandates: Swiss National Science Foundation, European Commission
Efficient algorithms for public-private social networks
F Chierichetti, A Epasto, R Kumar, S Lattanzi, V Mirrokni
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
Mandates: Government of Italy
Correlation clustering in constant many parallel rounds
V Cohen-Addad, S Lattanzi, S Mitrović, A Norouzi-Fard, N Parotsidis, ...
International Conference on Machine Learning, 2069-2078, 2021
Mandates: US National Science Foundation, Swiss National Science Foundation
Rumor spreading and conductance
F Chierichetti, G Giakkoupis, S Lattanzi, A Panconesi
Journal of the ACM (JACM) 65 (4), 1-21, 2018
Mandates: European Commission
Online facility location with multiple advice
M Almanza, F Chierichetti, S Lattanzi, A Panconesi, G Re
Advances in neural information processing systems 34, 4661-4673, 2021
Mandates: Government of Italy
Fully dynamic algorithm for constrained submodular optimization
S Lattanzi, S Mitrović, A Norouzi-Fard, JM Tarnawski, M Zadimoghaddam
Advances in Neural Information Processing Systems 33, 12923-12933, 2020
Mandates: Swiss National Science Foundation
Dynamic algorithms for the massively parallel computation model
GF Italiano, S Lattanzi, VS Mirrokni, N Parotsidis
The 31st ACM Symposium on Parallelism in Algorithms and Architectures, 49-58, 2019
Mandates: Villum Foundation
Robust online correlation clustering
S Lattanzi, B Moseley, S Vassilvitskii, Y Wang, R Zhou
Advances in Neural Information Processing Systems 34, 4688-4698, 2021
Mandates: US National Science Foundation
Exact recovery of clusters in finite metric spaces using oracle queries
M Bressan, N Cesa-Bianchi, S Lattanzi, A Paudice
Conference on Learning Theory, 775-803, 2021
Mandates: European Commission, Government of Italy
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