Boris Muzellec

Orcid: 0000-0002-1035-7017

According to our database1, Boris Muzellec authored at least 16 papers between 2016 and 2024.

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Bibliography

2024
Optimal Estimation of Smooth Transport Maps with Kernel SoS.
SIAM J. Math. Data Sci., 2024

2023
PyDESeq2: a python package for bulk RNA-seq differential expression analysis.
Bioinform., September, 2023

2022
FLamby: Datasets and Benchmarks for Cross-Silo Federated Learning in Realistic Healthcare Settings.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

SecureFedYJ: a safe feature Gaussianization protocol for Federated Learning.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Dimension-free convergence rates for gradient Langevin dynamics in RKHS.
Proceedings of the Conference on Learning Theory, 2-5 July 2022, London, UK., 2022

2021
Near-optimal estimation of smooth transport maps with kernel sums-of-squares.
CoRR, 2021

Learning PSD-valued functions using kernel sums-of-squares.
CoRR, 2021

A Note on Optimizing Distributions using Kernel Mean Embeddings.
CoRR, 2021

A Dimension-free Computational Upper-bound for Smooth Optimal Transport Estimation.
Proceedings of the Conference on Learning Theory, 2021

2020
Entropic Optimal Transport between Unbalanced Gaussian Measures has a Closed Form.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Missing Data Imputation using Optimal Transport.
Proceedings of the 37th International Conference on Machine Learning, 2020

2019
Subspace Detours: Building Transport Plans that are Optimal on Subspace Projections.
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018
Generalizing Point Embeddings using the Wasserstein Space of Elliptical Distributions.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

2017
Tsallis Regularized Optimal Transport and Ecological Inference.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Large Margin Nearest Neighbor Classification using Curved Mahalanobis Distances.
CoRR, 2016

Classification with mixtures of curved mahalanobis metrics.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016


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