Colin, Igor

12 publications

ICML 2025 Adaptive Sample Sharing for Multi Agent Linear Bandits Hamza Cherkaoui, Merwan Barlier, Igor Colin

NeurIPS 2025 Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means Anna van Elst, Igor Colin, Stephan Clémençon

ICML 2024 Measures of Diversity and Space-Filling Designs for Categorical Data Cedric Malherbe, Emilio Domı́nguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou Ammar, Tom Diethe

ICML 2023 Multi-Agent Best Arm Identification with Private Communications Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare

NeurIPS 2022 An $\alpha$-No-Regret Algorithm for Graphical Bilinear Bandits Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

ICML 2022 Deciphering Lasso-Based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux

ICML 2021 Best Arm Identification in Graphical Bilinear Bandits Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre

NeurIPS 2020 A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin

NeurIPS 2019 Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning Igor Colin, Ludovic Dos Santos, Kevin Scaman

ICML 2016 Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions Igor Colin, Aurelien Bellet, Joseph Salmon, Stéphan Clémençon

JMLR 2016 Scaling-up Empirical Risk Minimization: Optimization of Incomplete $u$-Statistics Stephan Clémençon, Igor Colin, Aurélien Bellet

NeurIPS 2015 Extending Gossip Algorithms to Distributed Estimation of U-Statistics Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon