Igor Colin

33 papers A* 9Journal 21Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Decentralized Ranking Aggregation: Gossip Algorithms for Borda and Copeland Consensus.
CoRR
Anna Van Elst, Kerrian Le Caillec, Igor Colin, Stéphan Clémençon
2026 J jnl
On Gossip Algorithms for Machine Learning with Pairwise Objectives.
CoRR
Igor Colin, Aurélien Bellet, Stéphan Clémençon, Joseph Salmon
2026 J jnl
On Gossip Algorithms for Machine Learning with Pairwise Objectives.
Trans. Mach. Learn. Res.
Igor Colin, Aurélien Bellet, Stéphan Clémençon, Joseph Salmon
2026 J jnl
Robust Distributed Learning under Resource Constraints: Decentralized Quantile Estimation via (Asynchronous) ADMM.
CoRR
Anna Van Elst, Igor Colin, Stéphan Clémençon
2025 A* conf
Adaptive Sample Sharing for Multi Agent Linear Bandits.
ICML
Hamza Cherkaoui, Merwan Barlier, Igor Colin
2025 J jnl
Asynchronous Gossip Algorithms for Rank-Based Statistical Methods.
CoRR
Anna Van Elst, Igor Colin, Stéphan Clémençon
2025 J jnl
Differentially Private Policy Gradient.
CoRR
Alexandre Rio, Merwan Barlier, Igor Colin
2025 J jnl
Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means.
CoRR
Anna Van Elst, Igor Colin, Stéphan Clémençon
2024 J jnl
Differentially Private Model-Based Offline Reinforcement Learning.
CoRR
Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas
2024 A* conf
Measures of diversity and space-filling designs for categorical data.
ICML
Cédric Malherbe, Emilio Domínguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou-Ammar, Tom Diethe
2023 J jnl
Clustered Multi-Agent Linear Bandits.
CoRR
Hamza Cherkaoui, Merwan Barlier, Igor Colin
2023 A* conf
Multi-Agent Best Arm Identification with Private Communications.
ICML
Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare
2023 J jnl
Price of Safety in Linear Best Arm Identification.
CoRR
Xuedong Shang, Igor Colin, Merwan Barlier, Hamza Cherkaoui
2023 J jnl
Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems.
Math. Oper. Res.
Thomas Kerdreux, Igor Colin, Alexandre d'Aspremont
2022 A* conf
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits.
NeurIPS
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022 J jnl
An α-No-Regret Algorithm For Graphical Bilinear Bandits.
CoRR
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
2022 A* conf
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm.
ICML
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux
2021 A* conf
Best Arm Identification in Graphical Bilinear Bandits.
ICML
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2020 A* conf
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration.
NeurIPS
Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin
2020 J jnl
Best Arm Identification in Graphical Bilinear Bandits.
CoRR
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
2020 J jnl
Refined bounds for randomized experimental design.
CoRR
Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief
2019 J jnl
Parallel Contextual Bandits in Wireless Handover Optimization.
CoRR
Igor Colin, Albert Thomas, Moez Draief
2019 A* conf
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning.
NeurIPS
Igor Colin, Ludovic Dos Santos, Kevin Scaman
2019 J jnl
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning.
CoRR
Igor Colin, Ludovic Dos Santos, Kevin Scaman
2018 — conf
Parallel Contextual Bandits in Wireless Handover Optimization.
ICDM Workshops
Igor Colin, Albert Thomas, Moez Draief
2016 — —
Adapting machine learning methods to U-statistics. (Adaptation des méthodes d'apprentissage aux U-statistiques).
Igor Colin
2016 J jnl
Decentralized Topic Modelling with Latent Dirichlet Allocation.
CoRR
Igor Colin, Christophe Dupuy
2016 A* conf
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.
ICML
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
2016 J jnl
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.
CoRR
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
2016 J jnl
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics.
J. Mach. Learn. Res.
Stéphan Clémençon, Igor Colin, Aurélien Bellet
2015 J jnl
Extending Gossip Algorithms to Distributed Estimation of U-Statistics.
CoRR
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
2015 — conf
Extending Gossip Algorithms to Distributed Estimation of U-statistics.
NIPS
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
2015 J jnl
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics.
CoRR
Stéphan Clémençon, Aurélien Bellet, Igor Colin