Publications

Kerrian Le Caillec, Anna Van Elst, Igor Colin, Stephan Clémençon (2026). Decentralized Ranking Aggregation via Gossip: Convergence and Robustness. Advances in Neural Information Processing Systems (NeurIPS 2026, to appear).

Igor Colin, Aurélien Bellet, Stephan Clémençon, Joseph Salmon (2026). On Gossip Algorithms for Machine Learning with Pairwise Objectives. Transactions on Machine Learning Research.

Anna Van Elst, Olivier Fercoq, Igor Colin, Stephan Clémençon (2026). Fast and Efficient Asynchronous Gossip Algorithm for Robust and Non-Smooth Convex Decentralized Learning. arXiv preprint arXiv:2601.20571 (under review).

Anna Van Elst, Igor Colin, Stephan Clémençon (2025). Robust Distributed Estimation: Extending Gossip Algorithms to Ranking and Trimmed Means. Advances in Neural Information Processing Systems (NeurIPS 2025).

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

Alexandre Rio, Merwan Barlier, Igor Colin (2025). Differentially Private Policy Gradient. arXiv preprint arXiv:2501.19080.

Hamza Cherkaoui, Merwan Barlier, Igor Colin (2025). Wireless Parameter Tuning with Clustering Multi-Agents in Linear Stochastic Bandit.

Anna Van Elst, Igor Colin, Stephan Clémençon (2025). Asynchronous Gossip Algorithms for Rank-Based Statistical Methods. International Conference on Federated Learning Technologies and Applications (FLTA).

Cedric Malherbe, Emilio Domı́nguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou Ammar, Tom Diethe (2024). Measures of diversity and space-filling designs for categorical data. Forty-first International Conference on Machine Learning.

Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas (2024). Differentially Private Model-Based Offline Reinforcement Learning. arXiv preprint arXiv:2402.05525.