Silvio Lattanzi

167 papers A* 71A 14B 2C 1Misc 2Journal 67Unranked 10

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Accelerating Scientific Research with Gemini: Case Studies and Common Techniques. CoRR David P. Woodruff, Vincent Cohen-Addad, Lalit Jain, Jieming Mao, Song Zuo, MohammadHossein Bateni, Simina Brânzei, Michael P. Brenner, Lin Chen, Ying Feng, Lance Fortnow, Gang Fu, Ziyi Guan, Zahra Hadizadeh, Mohammad T. Hajiaghayi, Mahdi JafariRaviz, Adel Javanmard, Karthik C. S., Ken-ichi Kawarabayashi, Ravi Kumar, Silvio Lattanzi, Euiwoong Lee, Yi Li, Ioannis Panageas, Dimitris Paparas, Benjamin Przybocki, Bernardo Subercaseaux, Ola Svensson, Shayan Taherijam, Xuan Wu, Eylon Yogev, Morteza Zadimoghaddam, Samson Zhou, Yossi Matias, James Manyika, Vahab Mirrokni
2026	J	`jnl`	Learning Multinomial Logits in O(n log n) time. CoRR Flavio Chierichetti, Mirko Giacchini, Ravi Kumar, Silvio Lattanzi, Alessandro Panconesi, Erasmo Tani, Andrew Tomkins
2026	A*	`conf`	Spectral Clustering with Side Information. SODA Hendrik Fichtenberger, Michael Kapralov, Ekaterina Kochetkova, Silvio Lattanzi, Davide Mazzali, Weronika Wrzos-Kaminska
2025	J	`jnl`	Algorithmic Thinking Theory. CoRR MohammadHossein Bateni, Vincent Cohen-Addad, Yuzhou Gu, Silvio Lattanzi, Simon Meierhans, Christopher Mohri
2025	A*	`conf`	Algorithms and Hardness for Active Learning on Graphs. ICML Vincent Cohen-Addad, Silvio Lattanzi, Simon Meierhans
2025	A*	`conf`	Almost Optimal Fully Dynamic k-Center Clustering with Recourse. ICML Sayan Bhattacharya, Martín Costa, Ermiya Farokhnejad, Silvio Lattanzi, Nikos Parotsidis
2025	A*	`conf`	Almost Optimal PAC Learning for k-Means. STOC Vincent Cohen-Addad, Silvio Lattanzi, Chris Schwiegelshohn
2025	A*	`conf`	Almost Tight Bounds for Differentially Private Densest Subgraph. SODA Michael Dinitz, Satyen Kale, Silvio Lattanzi, Sergei Vassilvitskii
2025	A*	`conf`	Approximating Dasgupta Cost in Sublinear Time from a Few Random Seeds. ICALP Michael Kapralov, Akash Kumar, Silvio Lattanzi, Aida Mousavifar, Weronika Wrzos-Kaminska
2025	J	`jnl`	Clustering with Label Consistency. CoRR Diptarka Chakraborty, Hendrik Fichtenberger, Bernhard Haeupler, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson
2025	A	`conf`	Data-Driven Solution Portfolios. ITCS Marina Drygala, Silvio Lattanzi, Andreas Maggiori, Miltiadis Stouras, Ola Svensson, Sergei Vassilvitskii
2025	J	`jnl`	Deletion Robust Non-Monotone Submodular Maximization over Matroids. J. Mach. Learn. Res. Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2025	J	`jnl`	Fully Dynamic Submodular Maximization over Matroids. ACM Trans. Algorithms Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2025	J	`jnl`	Large-Scale Graph Building in Dynamic Environments: Low Latency and High Quality. CoRR Filipe Miguel Gonçalves de Almeida, CJ Carey, Hendrik Fichtenberger, Jonathan Halcrow, Silvio Lattanzi, André Linhares, Tao Meng, Ashkan Norouzi-Fard, Nikos Parotsidis, Bryan Perozzi, David Simcha
2025	A*	`conf`	Metric Embeddings Beyond Bi-Lipschitz Distortion via Sherali-Adams. COLT Ainesh Bakshi, Vincent Cohen-Addad, Rajesh Jayaram, Sam Hopkins, Silvio Lattanzi
2025	J	`jnl`	Spectral Clustering with Side Information. CoRR Hendrik Fichtenberger, Michael Kapralov, Ekaterina Kochetkova, Silvio Lattanzi, Davide Mazzali, Weronika Wrzos-Kaminska
2025	A*	`conf`	The Cost of Consistency: Submodular Maximization with Constant Recourse. STOC Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson, Morteza Zadimoghaddam
2024	J	`jnl`	A Scalable Algorithm for Individually Fair K-means Clustering. CoRR MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi
2024	A	`conf`	A Scalable Algorithm for Individually Fair k-Means Clustering. AISTATS MohammadHossein Bateni, Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi
2024	A*	`conf`	Consistent Submodular Maximization. ICML Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2024	J	`jnl`	Consistent Submodular Maximization. CoRR Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2024	J	`jnl`	Data-Driven Solution Portfolios. CoRR Marina Drygala, Silvio Lattanzi, Andreas Maggiori, Miltiadis Stouras, Ola Svensson, Sergei Vassilvitskii
2024	A*	`conf`	Dynamic Correlation Clustering in Sublinear Update Time. ICML Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori, Nikos Parotsidis
2024	J	`jnl`	Dynamic Correlation Clustering in Sublinear Update Time. CoRR Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori, Nikos Parotsidis
2024	J	`jnl`	Fully Dynamic CoRR Sayan Bhattacharya, Martín Costa, Naveen Garg, Silvio Lattanzi, Nikos Parotsidis
2024	J	`jnl`	Fully Dynamic CoRR Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis
2024	J	`jnl`	Fully Dynamic k-Center Clustering with Outliers. Algorithmica T.-H. Hubert Chan, Silvio Lattanzi, Mauro Sozio, Bo Wang
2024	A*	`conf`	Fully Dynamic k-Clustering with Fast Update Time and Small Recourse. FOCS Sayan Bhattacharya, Martín Costa, Naveen Garg, Silvio Lattanzi, Nikos Parotsidis
2024	J	`jnl`	Margin-Based Active Learning of Classifiers. J. Mach. Learn. Res. Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2024	A*	`conf`	Multi-View Stochastic Block Models. ICML Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi, Rajai Nasser
2024	J	`jnl`	Multi-View Stochastic Block Models. CoRR Vincent Cohen-Addad, Tommaso d'Orsi, Silvio Lattanzi, Rajai Nasser
2024	A	`ed.`	Proceedings of the 17th ACM International Conference on Web Search and Data Mining, WSDM 2024, Merida, Mexico, March 4-8, 2024 WSDM Luz Angelica Caudillo-Mata, Silvio Lattanzi, Andrés Muñoz Medina, Leman Akoglu, Aristides Gionis, Sergei Vassilvitskii
2024	A*	`conf`	Resilient k-Clustering. KDD Sara Ahmadian, MohammadHossein Bateni, Hossein Esfandiari, Silvio Lattanzi, Morteza Monemizadeh, Ashkan Norouzi-Fard
2024	J	`jnl`	Secretaries with Advice. Math. Oper. Res. Paul Dütting, Silvio Lattanzi, Renato Paes Leme, Sergei Vassilvitskii
2024	J	`jnl`	The Cost of Consistency: Submodular Maximization with Constant Recourse. CoRR Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson, Morteza Zadimoghaddam
2023	J	`jnl`	A quasi-polynomial time algorithm for Multi-Dimensional Scaling via LP hierarchies. CoRR Ainesh Bakshi, Vincent Cohen-Addad, Samuel B. Hopkins, Rajesh Jayaram, Silvio Lattanzi
2023	A*	`conf`	Fully Dynamic Submodular Maximization over Matroids. ICML Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2023	J	`jnl`	Fully Dynamic Submodular Maximization over Matroids. CoRR Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2023	J	`jnl`	Fully Dynamic k-Clustering in Õ(k) Update Time. CoRR Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis
2023	A*	`conf`	Fully Dynamic k-Clustering in Õ(k) Update Time. NeurIPS Sayan Bhattacharya, Martín Costa, Silvio Lattanzi, Nikos Parotsidis
2023	J	`jnl`	Improved Differentially Private Densest Subgraph: Local and Purely Additive. CoRR Michael Dinitz, Satyen Kale, Silvio Lattanzi, Sergei Vassilvitskii
2023	A*	`conf`	Learning Hierarchical Cluster Structure of Graphs in Sublinear Time. SODA Michael Kapralov, Akash Kumar, Silvio Lattanzi, Aida Mousavifar
2023	J	`jnl`	Massively Parallel Computation: Algorithms and Applications. Found. Trends Optim. Sungjin Im, Ravi Kumar, Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii
2023	A*	`conf`	Multi-Swap k-Means++. NeurIPS Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis
2023	J	`jnl`	Multi-Swap k-Means++. CoRR Lorenzo Beretta, Vincent Cohen-Addad, Silvio Lattanzi, Nikos Parotsidis
2023	A*	`conf`	Speeding Up Bellman Ford via Minimum Violation Permutations. ICML Silvio Lattanzi, Ola Svensson, Sergei Vassilvitskii
2022	A*	`conf`	Active Learning of Classifiers with Label and Seed Queries. NeurIPS Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
2022	J	`jnl`	Active Learning of Classifiers with Label and Seed Queries. CoRR Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice, Maximilian Thiessen
2022	A*	`conf`	Approximate Cluster Recovery from Noisy Labels. COLT Buddhima Gamlath, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson
2022	J	`jnl`	Deletion Robust Non-Monotone Submodular Maximization over Matroids. CoRR Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2022	A*	`conf`	Deletion Robust Submodular Maximization over Matroids. ICML Paul Duetting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2022	J	`jnl`	Deletion Robust Submodular Maximization over Matroids. CoRR Paul Dütting, Federico Fusco, Silvio Lattanzi, Ashkan Norouzi-Fard, Morteza Zadimoghaddam
2022	A*	`conf`	Efficient and Stable Fully Dynamic Facility Location. NeurIPS Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis
2022	J	`jnl`	Efficient and Stable Fully Dynamic Facility Location. CoRR Sayan Bhattacharya, Silvio Lattanzi, Nikos Parotsidis
2022	Misc	`conf`	Fully Dynamic k-Center Clustering with Outliers. COCOON T.-H. Hubert Chan, Silvio Lattanzi, Mauro Sozio, Bo Wang
2022	J	`jnl`	Learning Hierarchical Structure of Clusterable Graphs. CoRR Michael Kapralov, Akash Kumar, Silvio Lattanzi, Aida Mousavifar
2022	A*	`conf`	Near-Optimal Correlation Clustering with Privacy. NeurIPS Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2022	J	`jnl`	Near-Optimal Correlation Clustering with Privacy. CoRR Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2022	J	`jnl`	On Classification Thresholds for Graph Attention with Edge Features. CoRR Kimon Fountoulakis, Dake He, Silvio Lattanzi, Bryan Perozzi, Anton Tsitsulin, Shenghao Yang
2022	A*	`conf`	Online and Consistent Correlation Clustering. ICML Vincent Cohen-Addad, Silvio Lattanzi, Andreas Maggiori, Nikos Parotsidis
2022	A*	`conf`	Scalable Differentially Private Clustering via Hierarchically Separated Trees. KDD Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii
2022	J	`jnl`	Scalable Differentially Private Clustering via Hierarchically Separated Trees. CoRR Vincent Cohen-Addad, Alessandro Epasto, Silvio Lattanzi, Vahab S. Mirrokni, Andres Muñoz Medina, David Saulpic, Chris Schwiegelshohn, Sergei Vassilvitskii
2022	J	`jnl`	TF-GNN: Graph Neural Networks in TensorFlow. CoRR Oleksandr Ferludin, Arno Eigenwillig, Martin Blais, Dustin Zelle, Jan Pfeifer, Alvaro Sanchez-Gonzalez, Wai Lok Sibon Li, Sami Abu-El-Haija, Peter W. Battaglia, Neslihan Bulut, Jonathan Halcrow, Filipe Miguel Gonçalves de Almeida, Silvio Lattanzi, André Linhares, Brandon A. Mayer, Vahab S. Mirrokni, John Palowitch, Mihir Paradkar, Jennifer She, Anton Tsitsulin, Kevin Villela, Lisa Wang, David Wong, Bryan Perozzi
2022	A*	`conf`	The Gibbs-Rand Model. PODS Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi
2021	A*	`conf`	Consistent k-Clustering for General Metrics. SODA Hendrik Fichtenberger, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson
2021	A*	`conf`	Correlation Clustering in Constant Many Parallel Rounds. ICML Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2021	J	`jnl`	Correlation Clustering in Constant Many Parallel Rounds. CoRR Vincent Cohen-Addad, Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
2021	A*	`conf`	Efficient and Local Parallel Random Walks. NeurIPS Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
2021	J	`jnl`	Efficient and Local Parallel Random Walks. CoRR Michael Kapralov, Silvio Lattanzi, Navid Nouri, Jakab Tardos
2021	A*	`conf`	Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. COLT Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2021	J	`jnl`	Exact Recovery of Clusters in Finite Metric Spaces Using Oracle Queries. CoRR Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2021	A*	`conf`	On Margin-Based Cluster Recovery with Oracle Queries. NeurIPS Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2021	J	`jnl`	On Margin-Based Cluster Recovery with Oracle Queries. CoRR Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2021	A*	`conf`	Online Facility Location with Multiple Advice. NeurIPS Matteo Almanza, Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re
2021	A*	`conf`	Parallel and Efficient Hierarchical k-Median Clustering. NeurIPS Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson
2021	A*	`conf`	Robust Online Correlation Clustering. NeurIPS Silvio Lattanzi, Benjamin Moseley, Sergei Vassilvitskii, Yuyan Wang, Rudy Zhou
2021	A*	`conf`	Secretaries with Advice. EC Paul Dütting, Silvio Lattanzi, Renato Paes Leme, Sergei Vassilvitskii
2021	A*	`conf`	Spectral Clustering Oracles in Sublinear Time. SODA Grzegorz Gluch, Michael Kapralov, Silvio Lattanzi, Aida Mousavifar, Christian Sohler
2021	J	`jnl`	Spectral Clustering Oracles in Sublinear Time. CoRR Grzegorz Gluch, Michael Kapralov, Silvio Lattanzi, Aida Mousavifar, Christian Sohler
2021	A*	`conf`	Twin Peaks, a Model for Recurring Cascades. WWW Matteo Almanza, Silvio Lattanzi, Alessandro Panconesi, Giuseppe Re
2020	J	`jnl`	Consistent k-Clustering for General Metrics. CoRR Hendrik Fichtenberger, Silvio Lattanzi, Ashkan Norouzi-Fard, Ola Svensson
2020	A*	`conf`	Exact Recovery of Mangled Clusters with Same-Cluster Queries. NeurIPS Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2020	J	`jnl`	Exact Recovery of Mangled Clusters with Same-Cluster Queries. CoRR Marco Bressan, Nicolò Cesa-Bianchi, Silvio Lattanzi, Andrea Paudice
2020	A*	`conf`	Fast and Accurate $k$-means++ via Rejection Sampling. NeurIPS Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson
2020	J	`jnl`	Fast and Accurate k-means++ via Rejection Sampling. CoRR Vincent Cohen-Addad, Silvio Lattanzi, Ashkan Norouzi-Fard, Christian Sohler, Ola Svensson
2020	A*	`conf`	Fully Dynamic Algorithm for Constrained Submodular Optimization. NeurIPS Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam
2020	J	`jnl`	Fully Dynamic Algorithm for Constrained Submodular Optimization. CoRR Silvio Lattanzi, Slobodan Mitrovic, Ashkan Norouzi-Fard, Jakub Tarnawski, Morteza Zadimoghaddam
2020	J	`jnl`	InstantEmbedding: Efficient Local Node Representations. CoRR Stefan Postavaru, Anton Tsitsulin, Filipe Miguel Gonçalves de Almeida, Yingtao Tian, Silvio Lattanzi, Bryan Perozzi
2020	J	`jnl`	On Mean Estimation for Heteroscedastic Random Variables. CoRR Luc Devroye, Silvio Lattanzi, Gábor Lugosi, Nikita Zhivotovskiy
2020	A*	`conf`	Online MAP Inference of Determinantal Point Processes. NeurIPS Aditya Bhaskara, Amin Karbasi, Silvio Lattanzi, Morteza Zadimoghaddam
2020	A*	`conf`	Online Scheduling via Learned Weights. SODA Silvio Lattanzi, Thomas Lavastida, Benjamin Moseley, Sergei Vassilvitskii
2020	Misc	`conf`	Residual Based Sampling for Online Low Rank Approximation. ITA Aditya Bhaskara, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2020	J	`jnl`	Secretaries with Advice. CoRR Paul Dütting, Silvio Lattanzi, Renato Paes Leme, Sergei Vassilvitskii
2020	A*	`conf`	Sliding Window Algorithms for k-Clustering Problems. NeurIPS Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2020	J	`jnl`	Sliding Window Algorithms for k-Clustering Problems. CoRR Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2019	A*	`conf`	A Better k-means++ Algorithm via Local Search. ICML Silvio Lattanzi, Christian Sohler
2019	—	`conf`	A Framework for Parallelizing Hierarchical Clustering Methods. ECML/PKDD (1) Silvio Lattanzi, Thomas Lavastida, Kefu Lu, Benjamin Moseley
2019	A*	`conf`	Better Sliding Window Algorithms to Maximize Subadditive and Diversity Objectives. PODS Michele Borassi, Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2019	A	`conf`	Consistent Online Optimization: Convex and Submodular. AISTATS Mohammad Reza Karimi Jaghargh, Andreas Krause, Silvio Lattanzi, Sergei Vassilvitskii
2019	B	`conf`	Dynamic Algorithms for the Massively Parallel Computation Model. SPAA Giuseppe F. Italiano, Silvio Lattanzi, Vahab S. Mirrokni, Nikos Parotsidis
2019	J	`jnl`	Dynamic Algorithms for the Massively Parallel Computation Model. CoRR Giuseppe F. Italiano, Silvio Lattanzi, Vahab S. Mirrokni, Nikos Parotsidis
2019	A*	`conf`	Improved Parallel Algorithms for Density-Based Network Clustering. ICML Mohsen Ghaffari, Silvio Lattanzi, Slobodan Mitrovic
2019	J	`jnl`	Introduction to the Special Issue for SPAA'17. ACM Trans. Parallel Comput. Mohammad Hossein Bateni, Mohammad Taghi Hajiaghayi, Silvio Lattanzi
2019	J	`jnl`	MapReduce Meets Fine-Grained Complexity: MapReduce Algorithms for APSP, Matrix Multiplication, 3-SUM, and Beyond. CoRR MohammadTaghi Hajiaghayi, Silvio Lattanzi, Saeed Seddighin, Cliff Stein
2019	A	`conf`	Matroids, Matchings, and Fairness. AISTATS Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii
2019	A*	`conf`	Residual Based Sampling for Online Low Rank Approximation. FOCS Aditya Bhaskara, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2019	A*	`conf`	Submodular Streaming in All Its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. ICML Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi
2019	J	`jnl`	Submodular Streaming in All its Glory: Tight Approximation, Minimum Memory and Low Adaptive Complexity. CoRR Ehsan Kazemi, Marko Mitrovic, Morteza Zadimoghaddam, Silvio Lattanzi, Amin Karbasi
2018	J	`jnl`	Fair Clustering Through Fairlets. CoRR Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii
2018	A*	`conf`	Mallows Models for Top-k Lists. NeurIPS Flavio Chierichetti, Anirban Dasgupta, Shahrzad Haddadan, Ravi Kumar, Silvio Lattanzi
2018	A	`conf`	Non-Negative Sparse Regression and Column Subset Selection with L1 Error. ITCS Aditya Bhaskara, Silvio Lattanzi
2018	A	`conf`	One-shot Coresets: The Case of k-Clustering. AISTATS Olivier Bachem, Mario Lucic, Silvio Lattanzi
2018	A*	`conf`	Parallel and Streaming Algorithms for K-Core Decomposition. ICML Hossein Esfandiari, Silvio Lattanzi, Vahab S. Mirrokni
2018	J	`jnl`	Parallel and Streaming Algorithms for K-Core Decomposition. CoRR Hossein Esfandiari, Silvio Lattanzi, Vahab S. Mirrokni
2018	J	`jnl`	Rumor Spreading and Conductance. J. ACM Flavio Chierichetti, George Giakkoupis, Silvio Lattanzi, Alessandro Panconesi
2017	J	`jnl`	ASYMP: Fault-tolerant Mining of Massive Graphs. CoRR Eduardo Fleury, Silvio Lattanzi, Vahab S. Mirrokni, Bryan Perozzi
2017	—	`conf`	Affinity Clustering: Hierarchical Clustering at Scale. NIPS MohammadHossein Bateni, Soheil Behnezhad, Mahsa Derakhshan, MohammadTaghi Hajiaghayi, Raimondas Kiveris, Silvio Lattanzi, Vahab S. Mirrokni
2017	J	`jnl`	Algorithms for $\ell_p$ Low Rank Approximation. CoRR Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David P. Woodruff
2017	A*	`conf`	Algorithms for $\ell_p$ Low-Rank Approximation. ICML Flavio Chierichetti, Sreenivas Gollapudi, Ravi Kumar, Silvio Lattanzi, Rina Panigrahy, David P. Woodruff
2017	A*	`conf`	Consistent k-Clustering. ICML Silvio Lattanzi, Sergei Vassilvitskii
2017	A*	`conf`	Ego-Splitting Framework: from Non-Overlapping to Overlapping Clusters. KDD Alessandro Epasto, Silvio Lattanzi, Renato Paes Leme
2017	—	`conf`	Fair Clustering Through Fairlets. NIPS Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii
2017	A*	`conf`	Indexing Public-Private Graphs. WWW Aaron Archer, Silvio Lattanzi, Peter Likarish, Sergei Vassilvitskii
2017	J	`jnl`	One-Shot Coresets: The Case of k-Clustering. CoRR Olivier Bachem, Mario Lucic, Silvio Lattanzi
2017	A*	`conf`	Submodular Optimization Over Sliding Windows. WWW Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2016	—	`conf`	Community Detection on Evolving Graphs. NIPS Aris Anagnostopoulos, Jakub Lacki, Silvio Lattanzi, Stefano Leonardi, Mohammad Mahdian
2016	J	`jnl`	Efficient computation of the Weighted Clustering Coefficient. Internet Math. Silvio Lattanzi, Stefano Leonardi
2016	A*	`conf`	Expanders via Local Edge Flips. SODA Zeyuan Allen Zhu, Aditya Bhaskara, Silvio Lattanzi, Vahab S. Mirrokni, Lorenzo Orecchia
2016	A*	`conf`	Linking Users Across Domains with Location Data: Theory and Validation. WWW Christopher J. Riederer, Yunsung Kim, Augustin Chaintreau, Nitish Korula, Silvio Lattanzi
2016	A*	`conf`	On Sampling Nodes in a Network. WWW Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi, Tamás Sarlós
2016	J	`jnl`	Submodular Optimization over Sliding Windows. CoRR Alessandro Epasto, Silvio Lattanzi, Sergei Vassilvitskii, Morteza Zadimoghaddam
2015	A	`conf`	Distributed Graph Algorithmics: Theory and Practice. WSDM Silvio Lattanzi, Vahab S. Mirrokni
2015	A*	`conf`	Efficient Algorithms for Public-Private Social Networks. KDD Flavio Chierichetti, Alessandro Epasto, Ravi Kumar, Silvio Lattanzi, Vahab S. Mirrokni
2015	A*	`conf`	Efficient Densest Subgraph Computation in Evolving Graphs. WWW Alessandro Epasto, Silvio Lattanzi, Mauro Sozio
2015	J	`jnl`	Ego-net Community Mining Applied to Friend Suggestion. Proc. VLDB Endow. Alessandro Epasto, Silvio Lattanzi, Vahab S. Mirrokni, Ismail Sebe, Ahmed Taei, Sunita Verma
2015	J	`jnl`	Expanders via Local Edge Flips. CoRR Zeyuan Allen Zhu, Aditya Bhaskara, Silvio Lattanzi, Vahab S. Mirrokni, Lorenzo Orecchia
2015	A	`conf`	On Learning Mixture Models for Permutations. ITCS Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi
2015	A	`conf`	Robust Hierarchical k-Center Clustering. ITCS Silvio Lattanzi, Stefano Leonardi, Vahab S. Mirrokni, Ilya P. Razenshteyn
2015	A	`conf`	The Power of Random Neighbors in Social Networks. WSDM Silvio Lattanzi, Yaron Singer
2014	J	`jnl`	An efficient reconciliation algorithm for social networks. Proc. VLDB Endow. Nitish Korula, Silvio Lattanzi
2014	J	`jnl`	Communities, Random Walks, and Social Sybil Defense. Internet Math. Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi
2014	—	`conf`	Connected Components in MapReduce and Beyond. SoCC Raimondas Kiveris, Silvio Lattanzi, Vahab S. Mirrokni, Vibhor Rastogi, Sergei Vassilvitskii
2014	—	`conf`	Distributed Balanced Clustering via Mapping Coresets. NIPS MohammadHossein Bateni, Aditya Bhaskara, Silvio Lattanzi, Vahab S. Mirrokni
2014	C	`conf`	Efficient Computation of the Weighted Clustering Coefficient. WAW Silvio Lattanzi, Stefano Leonardi
2014	A*	`conf`	Filter & follow: how social media foster content curation. SIGMETRICS Avner May, Augustin Chaintreau, Nitish Korula, Silvio Lattanzi
2014	A*	`conf`	Learning Entangled Single-Sample Gaussians. SODA Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi
2014	—	`conf`	On Reconstructing a Hidden Permutation. APPROX-RANDOM Flavio Chierichetti, Anirban Dasgupta, Ravi Kumar, Silvio Lattanzi
2014	A*	`conf`	Reduce and aggregate: similarity ranking in multi-categorical bipartite graphs. WWW Alessandro Epasto, Jon Feldman, Silvio Lattanzi, Stefano Leonardi, Vahab S. Mirrokni
2013	J	`jnl`	A Local Algorithm for Finding Well-Connected Clusters CoRR Zeyuan Allen Zhu, Silvio Lattanzi, Vahab S. Mirrokni
2013	—	`conf`	A Local Algorithm for Finding Well-Connected Clusters. ICML (3) Zeyuan Allen Zhu, Silvio Lattanzi, Vahab S. Mirrokni
2013	J	`jnl`	An efficient reconciliation algorithm for social networks. CoRR Nitish Korula, Silvio Lattanzi
2013	A	`conf`	Arrival and departure dynamics in social networks. WSDM Shaomei Wu, Atish Das Sarma, Alex Fabrikant, Silvio Lattanzi, Andrew Tomkins
2013	J	`jnl`	Models for the Compressible Web. SIAM J. Comput. Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Alessandro Panconesi, Prabhakar Raghavan
2013	A*	`conf`	SoK: The Evolution of Sybil Defense via Social Networks. IEEE Symposium on Security and Privacy Lorenzo Alvisi, Allen Clement, Alessandro Epasto, Silvio Lattanzi, Alessandro Panconesi
2011	A	`conf`	An algorithmic treatment of strong queries. WSDM Ravi Kumar, Silvio Lattanzi, Prabhakar Raghavan
2011	B	`conf`	Filtering: a method for solving graph problems in MapReduce. SPAA Silvio Lattanzi, Benjamin Moseley, Siddharth Suri, Sergei Vassilvitskii
2011	A*	`conf`	Hiring a secretary from a poset. EC Ravi Kumar, Silvio Lattanzi, Sergei Vassilvitskii, Andrea Vattani
2011	A*	`conf`	Milgram-routing in social networks. WWW Silvio Lattanzi, Alessandro Panconesi, D. Sivakumar
2011	J	`jnl`	Rumor spreading in social networks. Theor. Comput. Sci. Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi
2010	A*	`conf`	Almost tight bounds for rumour spreading with conductance. STOC Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi
2010	A*	`conf`	Rumour Spreading and Graph Conductance. SODA Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi
2009	A*	`conf`	Affiliation networks. STOC Silvio Lattanzi, D. Sivakumar
2009	A*	`conf`	Models for the Compressible Web. FOCS Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Alessandro Panconesi, Prabhakar Raghavan
2009	A*	`conf`	On compressing social networks. KDD Flavio Chierichetti, Ravi Kumar, Silvio Lattanzi, Michael Mitzenmacher, Alessandro Panconesi, Prabhakar Raghavan
2009	—	`conf`	Rumor Spreading in Social Networks. ICALP (2) Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi
2008	—	`conf`	Gossiping (via mobile?) in social networks. DIALM-POMC Flavio Chierichetti, Silvio Lattanzi, Alessandro Panconesi
2008	A	`conf`	On placing skips optimally in expectation. WSDM Flavio Chierichetti, Silvio Lattanzi, Federico Mari, Alessandro Panconesi