Pierre Gaillard
Pierre Gaillard
INRIA
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Additive models and robust aggregation for GEFCom2014 probabilistic electric load and electricity price forecasting
P Gaillard, Y Goude, R Nedellec
International Journal of forecasting 32 (3), 1038-1050, 2016
1672016
Forecasting electricity consumption by aggregating specialized experts
M Devaine, P Gaillard, Y Goude, G Stoltz
Machine Learning 90 (2), 231-260, 2013
922013
A second-order bound with excess losses
P Gaillard, G Stoltz, T Van Erven
Conference on Learning Theory, 176-196, 2014
822014
Mirror descent meets fixed share (and feels no regret)
N Cesa-Bianchi, P Gaillard, G Lugosi, G Stoltz
arXiv preprint arXiv:1202.3323, 2012
682012
Forecasting electricity consumption by aggregating experts; how to design a good set of experts
P Gaillard, Y Goude
Modeling and stochastic learning for forecasting in high dimensions, 95-115, 2015
442015
Algorithmic chaining and the role of partial feedback in online nonparametric learning
N Cesa-Bianchi, P Gaillard, C Gentile, S Gerchinovitz
Conference on Learning Theory, 465-481, 2017
272017
A chaining algorithm for online nonparametric regression
P Gaillard, S Gerchinovitz
Conference on Learning Theory, 764-796, 2015
242015
A new look at shifting regret
N Cesa-Bianchi, P Gaillard, G Lugosi, G Stoltz
arXiv preprint arXiv:1202.3323, 2012
232012
Accelerated gossip in networks of given dimension using Jacobi polynomial iterations
R Berthier, F Bach, P Gaillard
SIAM Journal on Mathematics of Data Science 2 (1), 24-47, 2020
112020
Uniform regret bounds over for the sequential linear regression problem with the square loss
P Gaillard, S Gerchinovitz, M Huard, G Stoltz
Algorithmic Learning Theory, 404-432, 2019
92019
Sparse accelerated exponential weights
P Gaillard, O Wintenberger
Artificial Intelligence and Statistics, 75-82, 2017
82017
Contributions à l’agrégation séquentielle robuste d’experts: Travaux sur l’erreur d’approximation et la prévision en loi. Applications à la prévision pour les marchés de l’énergie.
P Gaillard
Université Paris Sud-Paris XI, 2015
82015
Online learning and game theory. a quick overview with recent results and applications
M Faure, P Gaillard, B Gaujal, V Perchet
ESAIM: Proceedings and Surveys 51, 246-271, 2015
62015
A further look at the forecasting of the electricity consumption by aggregation of specialized experts
P Gaillard, Y Goude, G Stoltz
Technical report, École normale supérieure, Paris and EDF R&D, Clamart, 2011
62011
Efficient online learning with kernels for adversarial large scale problems
R Jézéquel, P Gaillard, A Rudi
arXiv preprint arXiv:1902.09917, 2019
32019
Efficient online algorithms for fast-rate regret bounds under sparsity
P Gaillard, O Wintenberger
arXiv preprint arXiv:1805.09174, 2018
32018
Le Lasso, ou comment choisir parmi un grand nombre de variables à l'aide de peu d'observations
A Ismaili, P Gaillard
Exposé de maîtrise, 2009
32009
Target tracking for contextual bandits: Application to demand side management
M Brégère, P Gaillard, Y Goude, G Stoltz
International Conference on Machine Learning, 754-763, 2019
22019
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model
R Berthier, F Bach, P Gaillard
arXiv preprint arXiv:2006.08212, 2020
12020
A Continuized View on Nesterov Acceleration
R Berthier, F Bach, N Flammarion, P Gaillard, A Taylor
arXiv preprint arXiv:2102.06035, 2021
2021
El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.
Artículos 1–20