Rémi Le Priol
Rémi Le Priol
Verified email at - Homepage
Cited by
Cited by
Out-of-distribution generalization via risk extrapolation (rex)
D Krueger, E Caballero, JH Jacobsen, A Zhang, J Binas, D Zhang, ...
International conference on machine learning, 5815-5826, 2021
Negative momentum for improved game dynamics
G Gidel, RA Hemmat, M Pezeshki, R Le Priol, G Huang, S Lacoste-Julien, ...
The 22nd International Conference on Artificial Intelligence and Statistics …, 2019
Disentanglement via mechanism sparsity regularization: A new principle for nonlinear ICA
S Lachapelle, P Rodriguez, Y Sharma, KE Everett, R Le Priol, A Lacoste, ...
Conference on Causal Learning and Reasoning, 428-484, 2022
An analysis of the adaptation speed of causal models
R Le Priol, R Babanezhad, Y Bengio, S Lacoste-Julien
International Conference on Artificial Intelligence and Statistics, 775-783, 2021
Massively parallel processing of whole genome sequence data: an in-depth performance study
A Roy, Y Diao, U Evani, A Abhyankar, C Howarth, R Le Priol, T Bloom
Proceedings of the 2017 ACM International Conference on Management of Data …, 2017
Nonparametric partial disentanglement via mechanism sparsity: Sparse actions, interventions and sparse temporal dependencies
S Lachapelle, PR López, Y Sharma, K Everett, RL Priol, A Lacoste, ...
arXiv preprint arXiv:2401.04890, 2024
Adaptive Stochastic Dual Coordinate Ascent for Conditional Random Fields.
R Le Priol, A Piché, S Lacoste-Julien
UAI, 815-824, 2018
Convergence Rates for the MAP of an Exponential Family and Stochastic Mirror Descent--an Open Problem
RL Priol, F Kunstner, D Scieur, S Lacoste-Julien
arXiv preprint arXiv:2111.06826, 2021
Optimization tools for non-asymptotic statistics in exponential families
R Le Priol
Discovering Latent Causal Variables via Mechanism Sparsity: A New Principle for Nonlinear ICA
S Lachapelle, PR López, RL Priol, A Lacoste, S Lacoste-Julien
arXiv preprint arXiv:2107.10098, 2021
The system can't perform the operation now. Try again later.
Articles 1–10