Laurent Massoulié

ORCID

Publication Activity (10 Years)

Years Active: 1994-2024
Publications (10 Years): 67

Top Venues

Publications

Kevin Scaman, Mathieu Even, Batiste Le Bars, Laurent Massoulié
Minimax Excess Risk of First-Order Methods for Statistical Learning with Data-Dependent Oracles. AISTATS (2024)
Sayan Biswas, Mathieu Even, Anne-Marie Kermarrec, Laurent Massoulié, Rafael Pires, Rishi Sharma, Martijn de Vos
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes. CoRR (2024)
Mathieu Even, Luca Ganassali, Jakob Maier, Laurent Massoulié
Aligning Embeddings and Geometric Random Graphs: Informational Results and Computational Approaches for the Procrustes-Wasserstein Problem. CoRR (2024)
Romain Cosson, Laurent Massoulié
Collective Tree Exploration via Potential Function Method. ITCS (2024)
Mathieu Even, Anastasia Koloskova, Laurent Massoulié
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. AISTATS (2024)
Romain Cosson, Laurent Massoulié
Barely Random Algorithms for Metrical Task Systems. CoRR (2024)
Georgina Hall, Laurent Massoulié
Partial Recovery in the Graph Alignment Problem. Oper. Res. 71 (1) (2023)
Kevin Scaman, Mathieu Even, Laurent Massoulié
Generalization Error of First-Order Methods for Statistical Learning with Generic Oracles. CoRR (2023)
Romain Cosson, Laurent Massoulié, Laurent Viennot
Breadth-First Depth-Next: Optimal Collaborative Exploration of Trees with Low Diameter. CoRR (2023)
Mathieu Even, Anastasia Koloskova, Laurent Massoulié
Asynchronous SGD on Graphs: a Unified Framework for Asynchronous Decentralized and Federated Optimization. CoRR (2023)
Jakob Maier, Laurent Massoulié
Asymmetric tree correlation testing for graph alignment. ITW (2023)
Romain Cosson, Laurent Massoulié, Laurent Viennot
Brief Announcement: Efficient Collaborative Tree Exploration with Breadth-First Depth-Next. PODC (2023)
Romain Cosson, Laurent Massoulié, Laurent Viennot
Efficient Collaborative Tree Exploration with Breadth-First Depth-Next. DISC (2023)
Romain Cosson, Laurent Massoulié
Collective Tree Exploration via Potential Function Method. CoRR (2023)
Luca Ganassali, Laurent Massoulié, Marc Lelarge
Correlation Detection in Trees for Planted Graph Alignment. ITCS (2022)
Mathieu Even, Laurent Massoulié, Kevin Scaman
On Sample Optimality in Personalized Collaborative and Federated Learning. NeurIPS (2022)
Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. NeurIPS (2022)
Edwige Cyffers, Mathieu Even, Aurélien Bellet, Laurent Massoulié
Muffliato: Peer-to-Peer Privacy Amplification for Decentralized Optimization and Averaging. CoRR (2022)
Mathieu Even, Laurent Massoulié
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization. COLT (2021)
Luca Ganassali, Laurent Massoulié, Marc Lelarge
Impossibility of Partial Recovery in the Graph Alignment Problem. COLT (2021)
Luca Ganassali, Laurent Massoulié, Marc Lelarge
Impossibility of Partial Recovery in the Graph Alignment Problem. CoRR (2021)
Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
Decentralized Optimization with Heterogeneous Delays: a Continuous-Time Approach. CoRR (2021)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Optimal Algorithm for Decentralized Finite-Sum Optimization. SIAM J. Optim. 31 (4) (2021)
Luca Ganassali, Laurent Massoulié, Marc Lelarge
Correlation detection in trees for partial graph alignment. CoRR (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS (2021)
Mathieu Even, Laurent Massoulié
Concentration of Non-Isotropic Random Tensors with Applications to Learning and Empirical Risk Minimization. CoRR (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien Taylor
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR (2021)
Stéphane Gaubert, Marianne Akian, Xavier Allamigeon, Marin Boyet, Baptiste Colin, Théotime Grohens, Laurent Massoulié, David P. Parsons, Frédéric Adnet, Érick Chanzy, Laurent Goix, Frédéric Lapostolle, Éric Lecarpentier, Christophe Leroy, Thomas Loeb, Jean-Sébastien Marx, Caroline Télion, Laurent Tréluyer, Pierre Carli
Forecasting the local progression of the Covid-19 epidemic from medical emergency calls: the example of the Paris area. CoRR (2020)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. CoRR (2020)
Mathieu Even, Hadrien Hendrikx, Laurent Massoulié
Asynchrony and Acceleration in Gossip Algorithms. CoRR (2020)
Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. ICML (2020)
Hadrien Hendrikx, Lin Xiao, Sébastien Bubeck, Francis R. Bach, Laurent Massoulié
Statistically Preconditioned Accelerated Gradient Method for Distributed Optimization. CoRR (2020)
Laurent Massoulié, Rémi Varloot
Rapid Mixing of Dynamic Graphs With Local Evolution Rules. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Optimal Algorithm for Decentralized Finite Sum Optimization. CoRR (2020)
Luca Ganassali, Laurent Massoulié
From tree matching to sparse graph alignment. CoRR (2020)
Virag Shah, Lennart Gulikers, Laurent Massoulié, Milan Vojnovic
Adaptive Matching for Expert Systems with Uncertain Task Types. Oper. Res. 68 (5) (2020)
Luca Ganassali, Laurent Massoulié
From tree matching to sparse graph alignment. COLT (2020)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Dual-Free Stochastic Decentralized Optimization with Variance Reduction. NeurIPS (2020)
Georgina Hall, Laurent Massoulié
Partial Recovery in the Graph Alignment Problem. CoRR (2020)
Clara Stegehuis, Laurent Massoulié
Efficient Inference in Stochastic Block Models With Vertex Labels. IEEE Trans. Netw. Sci. Eng. 7 (3) (2020)
Mostafa Dehghan, Laurent Massoulié, Don Towsley, Daniel Sadoc Menasché, Y. C. Tay
A Utility Optimization Approach to Network Cache Design. IEEE/ACM Trans. Netw. 27 (3) (2019)
Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié
Optimal Convergence Rates for Convex Distributed Optimization in Networks. J. Mach. Learn. Res. 20 (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Asynchronous Accelerated Proximal Stochastic Gradient for Strongly Convex Distributed Finite Sums. CoRR (2019)
Luca Ganassali, Marc Lelarge, Laurent Massoulié
Spectral alignment of correlated Gaussian random matrices. CoRR (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. NeurIPS (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. AISTATS (2019)
Ludovic Stephan, Laurent Massoulié
Robustness of Spectral Methods for Community Detection. COLT (2019)
Laurent Massoulié, Ludovic Stephan, Don Towsley
Planting trees in graphs, and finding them back. COLT (2019)
Hadrien Hendrikx, Francis R. Bach, Laurent Massoulié
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums. CoRR (2019)
Hadrien Hendrikx, Laurent Massoulié, Francis R. Bach
Accelerated Decentralized Optimization with Local Updates for Smooth and Strongly Convex Objectives. CoRR (2018)
Clara Stegehuis, Laurent Massoulié
Efficient inference in stochastic block models with vertex labels. CoRR (2018)
Laurent Massoulié, Kuang Xu
On the Capacity of Information Processing Systems. Oper. Res. 66 (2) (2018)
Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Laurent Massoulié, Yin Tat Lee
Optimal Algorithms for Non-Smooth Distributed Optimization in Networks. NeurIPS (2018)
Ludovic Stephan, Laurent Massoulié
Robustness of spectral methods for community detection. CoRR (2018)
Virag Shah, Lennart Gulikers, Laurent Massoulié, Milan Vojnovic
Adaptive Matching for Expert Systems with Uncertain Task Types. CoRR (2017)
Laurent Massoulié, Rémi Varloot
Brief Announcement: Rapid Mixing of Local Dynamics on Graphs. DISC (2017)
Lennart Gulikers, Marc Lelarge, Laurent Massoulié
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models. ITCS (2017)
Oliver Hahm, Emmanuel Baccelli, Thomas C. Schmidt, Matthias Wählisch, Cédric Adjih, Laurent Massoulié
Low-power internet of things with NDN & cooperative caching. ICN (2017)
Virag Shah, Lennart Gulikers, Laurent Massoulié, Milan Vojnovic
Adaptive matching for expert systems with uncertain task types. Allerton (2017)
Kevin Scaman, Francis R. Bach, Sébastien Bubeck, Yin Tat Lee, Laurent Massoulié
Optimal Algorithms for Smooth and Strongly Convex Distributed Optimization in Networks. ICML (2017)
Emmanuel Abbe, Laurent Massoulié, Andrea Montanari, Allan Sly, Nikhil Srivastava
Group Synchronization on Grids. CoRR (2017)
Laurent Massoulié, Rémi Varloot
Rapid Mixing of Local Graph Dynamics. CoRR (2017)
Laurent Massoulié, Kuang Xu
On the capacity of information processing systems. CoRR (2016)
Laurent Massoulié, Kuang Xu
On the capacity of information processing systems. COLT (2016)
Mostafa Dehghan, Laurent Massoulié, Don Towsley, Daniel Sadoc Menasché, Y. C. Tay
A Utility Optimization Approach to Network Cache Design. CoRR (2016)
Mostafa Dehghan, Laurent Massoulié, Don Towsley, Daniel S. Menasché, Y. C. Tay
A utility optimization approach to network cache design. INFOCOM (2016)
Lennart Gulikers, Marc Lelarge, Laurent Massoulié
Non-Backtracking Spectrum of Degree-Corrected Stochastic Block Models. CoRR (2016)
Kolar Purushothama Naveen, Laurent Massoulié, Emmanuel Baccelli, Aline Carneiro Viana, Don Towsley
On the Interaction between Content Caching and Request Assignment in Cellular Cache Networks. AllThingsCellular@SIGCOMM (2015)
Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
From Small-World Networks to Comparison-Based Search. IEEE Trans. Inf. Theory 61 (6) (2015)
Nidhi Hegde, Laurent Massoulié, Laurent Viennot
Self-organizing flows in social networks. Theor. Comput. Sci. 584 (2015)
Charles Bordenave, Marc Lelarge, Laurent Massoulié
Non-backtracking spectrum of random graphs: community detection and non-regular Ramanujan graphs. CoRR (2015)
Charles Bordenave, Marc Lelarge, Laurent Massoulié
Non-backtracking Spectrum of Random Graphs: Community Detection and Non-regular Ramanujan Graphs. FOCS (2015)
Rui Wu, Jiaming Xu, Rayadurgam Srikant, Laurent Massoulié, Marc Lelarge, Bruce E. Hajek
Clustering and Inference From Pairwise Comparisons. SIGMETRICS (2015)
Mathieu Leconte, Marc Lelarge, Laurent Massoulié
Designing Adaptive Replication Schemes in Distributed Content Delivery Networks. International Teletraffic Congress (2015)
Lennart Gulikers, Marc Lelarge, Laurent Massoulié
A spectral method for community detection in moderately-sparse degree-corrected stochastic block models. CoRR (2015)
Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
Stable and scalable universal swarms. Distributed Comput. 28 (6) (2015)
Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié
The Price of Privacy in Untrusted Recommender Systems. IEEE J. Sel. Top. Signal Process. 9 (7) (2015)
Lennart Gulikers, Marc Lelarge, Laurent Massoulié
An Impossibility Result for Reconstruction in a Degree-Corrected Planted-Partition Model. CoRR (2015)
Marc Lelarge, Laurent Massoulié, Jiaming Xu
Reconstruction in the Labelled Stochastic Block Model. IEEE Trans. Netw. Sci. Eng. 2 (4) (2015)
Laurent Massoulié, Mesrob I. Ohannessian, Alexandre Proutière
Greedy-Bayes for Targeted News Dissemination. SIGMETRICS (2015)
Zeinab Abbassi, Nidhi Hegde, Laurent Massoulié
Distributed Content Curation on the Web. ACM Trans. Internet Techn. 14 (2-3) (2014)
Jiaming Xu, Laurent Massoulié, Marc Lelarge
Edge Label Inference in Generalized Stochastic Block Models: from Spectral Theory to Impossibility Results. COLT (2014)
Laurent Massoulié
Community detection thresholds and the weak Ramanujan property. STOC (2014)
Zeinab Abbassi, Nidhi Hegde, Laurent Massoulié
Distributed content curation on the web. SIGMETRICS Perform. Evaluation Rev. 41 (4) (2014)
Mathieu Leconte, Marc Lelarge, Laurent Massoulié
Adaptive Replication in Distributed Content Delivery Networks. CoRR (2014)
Bo Jiang, Nidhi Hegde, Laurent Massoulié, Don Towsley
How to Optimally allocate your budget of attention in social networks. INFOCOM (2013)
Ramakrishna Gummadi, Laurent Massoulié, Ramavarapu S. Sreenivas
The role of coding in the choice between routing and coding for wireless unicast. Phys. Commun. 6 (2013)
Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
Stable and scalable universal swarms. SIGMETRICS (2013)
Laurent Massoulié
Community detection thresholds and the weak Ramanujan property. CoRR (2013)
Peter M. van de Ven, Nidhi Hegde, Laurent Massoulié, Theodoros Salonidis
Optimal Control of End-User Energy Storage. IEEE Trans. Smart Grid 4 (2) (2013)
Mathieu Leconte, Marc Lelarge, Laurent Massoulié
Convergence of multivariate belief propagation, with applications to cuckoo hashing and load balancing. SODA (2013)
Nidhi Hegde, Laurent Massoulié, Laurent Viennot
Self-organizing Flows in Social Networks. SIROCCO (2013)
Marc Lelarge, Laurent Massoulié, Jiaming Xu
Reconstruction in the labeled stochastic block model. ITW (2013)
Bo Tan, Laurent Massoulié
Optimal Content Placement for Peer-to-Peer Video-on-Demand Systems. IEEE/ACM Trans. Netw. 21 (2) (2013)
Ji Zhu, Stratis Ioannidis, Nidhi Hegde, Laurent Massoulié
Stable and scalable universal swarms. PODC (2013)
Wenjie Jiang, Stratis Ioannidis, Laurent Massoulié, Fabio Picconi
Orchestrating massively distributed CDNs. CoNEXT (2012)
Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié
The price of privacy in untrusted recommendation engines. Allerton Conference (2012)
Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
Comparison-Based Learning with Rank Nets CoRR (2012)
Amin Karbasi, Stratis Ioannidis, Laurent Massoulié
Comparison-Based Learning with Rank Nets. ICML (2012)
Siddhartha Banerjee, Nidhi Hegde, Laurent Massoulié
The Price of Privacy in Untrusted Recommendation Engines CoRR (2012)

Laurent Massoulié.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Laurent Massoulié