Romain Cosson - RankMe

25 papers A* 6A 2B 1Journal 15Unranked 1

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Contextual Online Bilateral Trade. CoRR Romain Cosson, Federico Fusco, Anupam Gupta, Stefano Leonardi, Renato Paes Leme, Matteo Russo
2026	J	`jnl`	The value of random zero-sum games. CoRR Romain Cosson, Laurent Massoulié
2025	J	`jnl`	Asynchronous Collective Tree Exploration: a Distributed Algorithm, and a new Lower Bound. CoRR Romain Cosson, Laurent Massoulié
2025	J	`jnl`	Non-Clairvoyant Scheduling with Progress Bars. CoRR Ziyad Benomar, Romain Cosson, Alexander Lindermayr, Jens Schlöter
2025	A*	`conf`	Unweighted Layered Graph Traversal: Passing a Crown via Entropy Maximization. SODA Xingjian Bai, Christian Coester, Romain Cosson
2024	J	`jnl`	Ariadne and Theseus: Exploration and Rendezvous with Two Mobile Agents in an Unknown Graph. CoRR Romain Cosson
2024	A*	`conf`	Barely Random Algorithms and Collective Metrical Task Systems. NeurIPS Romain Cosson, Laurent Massoulié
2024	J	`jnl`	Barely Random Algorithms for Metrical Task Systems. CoRR Romain Cosson, Laurent Massoulié
2024	A*	`conf`	Breaking the SODA Romain Cosson
2024	A	`conf`	Collective Tree Exploration via Potential Function Method. ITCS Romain Cosson, Laurent Massoulié
2024	J	`jnl`	Unweighted Layered Graph Traversal. CoRR Xingjian Bai, Christian Coester, Romain Cosson
2023	J	`jnl`	Asynchronous Collective Tree Exploration by Tree-Mining. CoRR Romain Cosson
2023	J	`jnl`	Breadth-First Depth-Next: Optimal Collaborative Exploration of Trees with Low Diameter. CoRR Romain Cosson, Laurent Massoulié, Laurent Viennot
2023	A*	`conf`	Brief Announcement: Efficient Collaborative Tree Exploration with Breadth-First Depth-Next. PODC Romain Cosson, Laurent Massoulié, Laurent Viennot
2023	J	`jnl`	Collective Tree Exploration via Potential Function Method. CoRR Romain Cosson, Laurent Massoulié
2023	A	`conf`	Efficient Collaborative Tree Exploration with Breadth-First Depth-Next. DISC Romain Cosson, Laurent Massoulié, Laurent Viennot
2023	—	`conf`	Gradient Descent with Low-Rank Objective Functions. CDC Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
2022	J	`jnl`	Gradient Descent for Low-Rank Functions. CoRR Romain Cosson, Ali Jadbabaie, Anuran Makur, Amirhossein Reisizadeh, Devavrat Shah
2022	A*	`conf`	Universal Online Learning with Bounded Loss: Reduction to Binary Classification. COLT Moïse Blanchard, Romain Cosson
2022	B	`conf`	Universal Online Learning with Unbounded Losses: Memory Is All You Need. ALT Moïse Blanchard, Romain Cosson, Steve Hanneke
2022	J	`jnl`	Universal Online Learning with Unbounded Losses: Memory Is All You Need. CoRR Moïse Blanchard, Romain Cosson, Steve Hanneke
2021	J	`jnl`	Approximating the Log-Partition Function. CoRR Romain Cosson, Devavrat Shah
2021	A*	`conf`	Quantifying Variational Approximation for Log-Partition Function. COLT Romain Cosson, Devavrat Shah
2021	J	`jnl`	Universal Online Learning with Bounded Loss: Reduction to Binary Classification. CoRR Moïse Blanchard, Romain Cosson
2020	J	`jnl`	Synthetic Interventions. CoRR Anish Agarwal, Abdullah Omar Alomar, Romain Cosson, Devavrat Shah, Dennis Shen