Muzellec, Boris

9 publications

COLT 2022 Dimension-Free Convergence Rates for Gradient Langevin Dynamics in RKHS Boris Muzellec, Kanji Sato, Mathurin Massias, Taiji Suzuki

NeurIPS 2022 FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings Jean Ogier du Terrail, Samy-Safwan Ayed, Edwige Cyffers, Felix Grimberg, Chaoyang He, Regis Loeb, Paul Mangold, Tanguy Marchand, Othmane Marfoq, Erum Mushtaq, Boris Muzellec, Constantin Philippenko, Santiago Silva, Maria Teleńczuk, Shadi Albarqouni, Salman Avestimehr, Aurélien Bellet, Aymeric Dieuleveut, Martin Jaggi, Sai Praneeth Karimireddy, Marco Lorenzi, Giovanni Neglia, Marc Tommasi, Mathieu Andreux

NeurIPS 2022 SecureFedYJ: A Safe Feature Gaussianization Protocol for Federated Learning Tanguy Marchand, Boris Muzellec, Constance Béguier, Jean Ogier du Terrail, Mathieu Andreux

COLT 2021 A Dimension-Free Computational Upper-Bound for Smooth Optimal Transport Estimation Adrien Vacher, Boris Muzellec, Alessandro Rudi, Francis Bach, Francois-Xavier Vialard

NeurIPS 2020 Entropic Optimal Transport Between Unbalanced Gaussian Measures Has a Closed Form Hicham Janati, Boris Muzellec, Gabriel Peyré, Marco Cuturi

ICML 2020 Missing Data Imputation Using Optimal Transport Boris Muzellec, Julie Josse, Claire Boyer, Marco Cuturi

NeurIPS 2019 Subspace Detours: Building Transport Plans That Are Optimal on Subspace Projections Boris Muzellec, Marco Cuturi

NeurIPS 2018 Generalizing Point Embeddings Using the Wasserstein Space of Elliptical Distributions Boris Muzellec, Marco Cuturi

AAAI 2017 Tsallis Regularized Optimal Transport and Ecological Inference Boris Muzellec, Richard Nock, Giorgio Patrini, Frank Nielsen