Igor Colin

According to our database, Igor Colin authored at least 19 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Differentially Private Model-Based Offline Reinforcement Learning.

Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas

CoRR, 2024

Measures of diversity and space-filling designs for categorical data.

Cédric Malherbe, Emilio Domínguez-Sánchez, Merwan Barlier, Igor Colin, Haitham Bou-Ammar, Tom Diethe

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems.

Thomas Kerdreux, Igor Colin, Alexandre d'Aspremont

Math. Oper. Res., May, 2023

Clustered Multi-Agent Linear Bandits.

Hamza Cherkaoui, Merwan Barlier, Igor Colin

CoRR, 2023

Price of Safety in Linear Best Arm Identification.

Xuedong Shang, Igor Colin, Merwan Barlier, Hamza Cherkaoui

CoRR, 2023

Multi-Agent Best Arm Identification with Private Communications.

Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare

Proceedings of the International Conference on Machine Learning, 2023

2022

An α-No-Regret Algorithm For Graphical Bilinear Bandits.

Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

CoRR, 2022

An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits.

Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 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

Proceedings of the International Conference on Machine Learning, 2022

2021

Best Arm Identification in Graphical Bilinear Bandits.

Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre

Proceedings of the 38th International Conference on Machine Learning, 2021

2020

Refined bounds for randomized experimental design.

Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief

CoRR, 2020

A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration.

Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning.

Igor Colin, Ludovic Dos Santos, Kevin Scaman

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Parallel Contextual Bandits in Wireless Handover Optimization.

Igor Colin, Albert Thomas, Moez Draief

Proceedings of the 2018 IEEE International Conference on Data Mining Workshops, 2018

2016

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

Igor Colin

PhD thesis, 2016

Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics.

Stéphan Clémençon, Igor Colin, Aurélien Bellet

J. Mach. Learn. Res., 2016

Decentralized Topic Modelling with Latent Dirichlet Allocation.

Igor Colin, Christophe Dupuy

CoRR, 2016

Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions.

Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

Proceedings of the 33nd International Conference on Machine Learning, 2016

2015

Extending Gossip Algorithms to Distributed Estimation of U-statistics.

Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon

Proceedings of the Advances in Neural Information Processing Systems 28: Annual Conference on Neural Information Processing Systems 2015, 2015