Igor Colin

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 20

Top Venues

CoRR

ICML

NeurIPS

Math. Oper. Res.

Télécom ParisTech, France (PHD)

Education History

Télécom ParisTech, France

PHD

Publications

Alexandre Rio, Merwan Barlier, Igor Colin, Albert Thomas
Differentially Private Model-Based Offline Reinforcement Learning. CoRR (2024)
Xuedong Shang, Igor Colin, Merwan Barlier, Hamza Cherkaoui
Price of Safety in Linear Best Arm Identification. CoRR (2023)
Alexandre Rio, Merwan Barlier, Igor Colin, Marta Soare
Multi-Agent Best Arm Identification with Private Communications. ICML (2023)
Thomas Kerdreux, Igor Colin, Alexandre d'Aspremont
Stable Bounds on the Duality Gap of Separable Nonconvex Optimization Problems. Math. Oper. Res. 48 (2) (2023)
Hamza Cherkaoui, Merwan Barlier, Igor Colin
Clustered Multi-Agent Linear Bandits. CoRR (2023)
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
An $\alpha$-No-Regret Algorithm For Graphical Bilinear Bandits. NeurIPS (2022)
Geovani Rizk, Igor Colin, Albert Thomas, Rida Laraki, Yann Chevaleyre
An α-No-Regret Algorithm For Graphical Bilinear Bandits. CoRR (2022)
Malik Tiomoko, Ekkehard Schnoor, Mohamed El Amine Seddik, Igor Colin, Aladin Virmaux
Deciphering Lasso-based Classification Through a Large Dimensional Analysis of the Iterative Soft-Thresholding Algorithm. ICML (2022)
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
Best Arm Identification in Graphical Bilinear Bandits. ICML (2021)
Geovani Rizk, Albert Thomas, Igor Colin, Rida Laraki, Yann Chevaleyre
Best Arm Identification in Graphical Bilinear Bandits. CoRR (2020)
Geovani Rizk, Igor Colin, Albert Thomas, Moez Draief
Refined bounds for randomized experimental design. CoRR (2020)
Kevin Scaman, Ludovic Dos Santos, Merwan Barlier, Igor Colin
A Simple and Efficient Smoothing Method for Faster Optimization and Local Exploration. NeurIPS (2020)
Igor Colin, Ludovic Dos Santos, Kevin Scaman
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. NeurIPS (2019)
Igor Colin, Albert Thomas, Moez Draief
Parallel Contextual Bandits in Wireless Handover Optimization. CoRR (2019)
Igor Colin, Ludovic Dos Santos, Kevin Scaman
Theoretical Limits of Pipeline Parallel Optimization and Application to Distributed Deep Learning. CoRR (2019)
Igor Colin, Albert Thomas, Moez Draief
Parallel Contextual Bandits in Wireless Handover Optimization. ICDM Workshops (2018)
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. ICML (2016)
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Gossip Dual Averaging for Decentralized Optimization of Pairwise Functions. CoRR (2016)
Stéphan Clémençon, Igor Colin, Aurélien Bellet
Scaling-up Empirical Risk Minimization: Optimization of Incomplete $U$-statistics. J. Mach. Learn. Res. 17 (2016)
Igor Colin, Christophe Dupuy
Decentralized Topic Modelling with Latent Dirichlet Allocation. CoRR (2016)
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Extending Gossip Algorithms to Distributed Estimation of U-statistics. NIPS (2015)
Stéphan Clémençon, Aurélien Bellet, Igor Colin
Scaling-up Empirical Risk Minimization: Optimization of Incomplete U-statistics. CoRR (2015)
Igor Colin, Aurélien Bellet, Joseph Salmon, Stéphan Clémençon
Extending Gossip Algorithms to Distributed Estimation of U-Statistics. CoRR (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Igor Colin