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Lattanzi, Silvio
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1

Secretaries with Advice:

Dütting, Paul ; Lattanzi, Silvio ; Paes Leme, Renato.
Mathematics of Operations Research.  49 (2024)  2 - p. 856-879 , 2024
Link: https://doi.org/10.1287/..
 
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2

Proceedings of the 17th ACM International Conference on Web..:

Angélica, Luz ; Lattanzi, Silvio ; Muñoz Medina, Andrés... , 2024
Link: https://dl.acm.org/doi/1..
 
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3

Fully Dynamic k-Center Clustering with Outliers:

Chan, T.-H. Hubert ; Lattanzi, Silvio ; Sozio, Mauro.
Algorithmica.  86 (2023)  1 - p. 171-193 , 2023
Link: https://doi.org/10.1007/..
 
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4

Fully Dynamic k-Center Clustering with Outliers:

, In: Lecture Notes in Computer Science; Computing and Combinatorics,
Chan, T.-H. Hubert ; Lattanzi, Silvio ; Sozio, Mauro. - p. 150-161 , 2022
Link: https://doi.org/10.1007/..
 
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5

The Gibbs-Rand Model:

, In: Proceedings of the 41st ACM SIGMOD-SIGACT-SIGAI Symposium on Principles of Database Systems,
Chierichetti, Flavio ; Kumar, Ravi ; Lattanzi, Silvio - p. 151-163 , 2022
Link: https://dl.acm.org/doi/1..
 
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6

Scalable Differentially Private Clustering via Hierarchical..:

, In: Proceedings of the 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining,
Cohen-Addad, Vincent ; Epasto, Alessandro ; Lattanzi, Silvio... - p. 221-230 , 2022
Link: https://dl.acm.org/doi/1..
 
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7

Consistent k-clustering for general metrics:

, In: Proceedings of the Thirty-Second Annual ACM-SIAM Symposium on Discrete Algorithms,
Fichtenberger, Hendrik ; Lattanzi, Silvio ; Norouzi-Fard, Ashkan. - p. 2660-2678 , 2021
Link: https://dl.acm.org/doi/1..
 
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8

Spectral Clustering Oracles in Sublinear Time:

, In: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA),
Gluch, Grzegorz ; Kapralov, Michael ; Lattanzi, Silvio.. - p. 1598-1617 , 2021
Link: https://doi.org/10.1137/..
 
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9

Twin Peaks, a Model for Recurring Cascades:

, In: Proceedings of the Web Conference 2021,
Almanza, Matteo ; Lattanzi, Silvio ; Panconesi, Alessandro. - p. 681-692 , 2021
Link: https://dl.acm.org/doi/1..
 
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10

Spectral clustering oracles in sublinear time:

, In: Proceedings of the Thirty-Second Annual ACM-SIAM Symposium on Discrete Algorithms,
Gluch, Grzegorz ; Kapralov, Michael ; Lattanzi, Silvio.. - p. 1598-1617 , 2021
Link: https://dl.acm.org/doi/1..
 
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11

Consistent k-Clustering for General Metrics:

, In: Proceedings of the 2021 ACM-SIAM Symposium on Discrete Algorithms (SODA),
Fichtenberger, Hendrik ; Lattanzi, Silvio ; Norouzi-Fard, Ashkan. - p. 2660-2678 , 2021
Link: https://doi.org/10.1137/..
 
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12

Secretaries with Advice:

, In: Proceedings of the 22nd ACM Conference on Economics and Computation,
Dütting, Paul ; Lattanzi, Silvio ; Paes Leme, Renato. - p. 409-429 , 2021
Link: https://dl.acm.org/doi/1..
 
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13

Online scheduling via learned weights:

, In: Proceedings of the Thirty-First Annual ACM-SIAM Symposium on Discrete Algorithms,
Lattanzi, Silvio ; Lavastida, Thomas ; Moseley, Benjamin. - p. 1859-1877 , 2020
Link: https://dl.acm.org/doi/1..
 
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14

Residual Based Sampling for Online Low Rank Approximation:

, In: 2020 Information Theory and Applications Workshop (ITA),
Bhaskara, Aditya ; Lattanzi, Silvio ; Vassilvitskii, Sergei. - p. 1-19 , 2020
Link: https://doi.org/10.1109/..
 
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15

A Framework for Parallelizing Hierarchical Clustering Metho..:

, In: Machine Learning and Knowledge Discovery in Databases; Lecture Notes in Computer Science,
Lattanzi, Silvio ; Lavastida, Thomas ; Lu, Kefu. - p. 73-89 , 2020
Link: https://doi.org/10.1007/..
 
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