Extending Gossip Algorithms to Distributed Estimation of U-statistics. - Igor Colin; Aurélien Bellet; Joseph Salmon; Stéphan Clémençon (NIPS, 2015)

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. - Igor Colin; Aurélien Bellet; Joseph Salmon; Stéphan Clémençon (ICML, 2016)

Decentralized Topic Modelling with Latent Dirichlet Allocation. - Igor Colin; Christophe Dupuy (CoRR, 2016)

Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics. - Stéphan Clémençon; Igor Colin; Aurélien Bellet (J. Mach. Learn. Res., 2016)

Adapting machine learning methods to U-statistics. (Adaptation des méthodes d'apprentissage aux U-statistiques). - Igor Colin (2016)

Parallel Contextual Bandits in Wireless Handover Optimization. - Igor Colin; Albert Thomas 001; Moez Draief (ICDM Workshops, 2018)

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

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

Refined bounds for randomized experimental design. - Geovani Rizk; Igor Colin; Albert Thomas 001; Moez Draief (CoRR, 2020)

Best Arm Identification in Graphical Bilinear Bandits. - Geovani Rizk; Albert Thomas 001; Igor Colin; Rida Laraki; Yann Chevaleyre (ICML, 2021)

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, 2022)

An $ alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (NeurIPS, 2022)

An α-No-Regret Algorithm For Graphical Bilinear Bandits. - Geovani Rizk; Igor Colin; Albert Thomas 001; Rida Laraki; Yann Chevaleyre (CoRR, 2022)

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

Price of Safety in Linear Best Arm Identification. - Xuedong Shang; Igor Colin; Merwan Barlier; Hamza Cherkaoui (CoRR, 2023)

Clustered Multi-Agent Linear Bandits. - Hamza Cherkaoui; Merwan Barlier; Igor Colin (CoRR, 2023)

Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems. - Thomas Kerdreux; Igor Colin; Alexandre d'Aspremont (Math. Oper. Res., 2023)

Measures of diversity and space-filling designs for categorical data. - Cédric Malherbe; Emilio Domínguez-Sánchez; Merwan Barlier; Igor Colin; Haitham Bou-Ammar; Tom Diethe (ICML, 2024)

Differentially Private Model-Based Offline Reinforcement Learning. - Alexandre Rio; Merwan Barlier; Igor Colin; Albert Thomas 001 (CoRR, 2024)

Differentially Private Policy Gradient. - Alexandre Rio; Merwan Barlier; Igor Colin (CoRR, 2025)

Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means. - Anna Van Elst; Igor Colin; Stéphan Clémençon (CoRR, 2025)