| 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 | 158 | 2016 |
| Forecasting electricity consumption by aggregating specialized experts M Devaine, P Gaillard, Y Goude, G Stoltz Machine Learning 90 (2), 231-260, 2013 | 84 | 2013 |
| A second-order bound with excess losses P Gaillard, G Stoltz, T Van Erven Conference on Learning Theory, 176-196, 2014 | 73 | 2014 |
| Mirror descent meets fixed share (and feels no regret) N Cesa-Bianchi, P Gaillard, G Lugosi, G Stoltz Advances in Neural Information Processing Systems 25, 980-988, 2012 | 68 | 2012 |
| 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 | 39 | 2015 |
| Algorithmic chaining and the role of partial feedback in online nonparametric learning N Cesa-Bianchi, P Gaillard, C Gentile, S Gerchinovitz arXiv preprint arXiv:1702.08211, 2017 | 25 | 2017 |
| A new look at shifting regret N Cesa-Bianchi, P Gaillard, G Lugosi, G Stoltz arXiv preprint arXiv:1202.3323, 2012 | 25 | 2012 |
| A chaining algorithm for online nonparametric regression P Gaillard, S Gerchinovitz Conference on Learning Theory, 764-796, 2015 | 22 | 2015 |
| 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 | 10 | 2020 |
| Contributions ā l’agrégation séquentielle robuste d’experts: Travaux sur l’erreur d’approximation et la prévision en loi. Applications ā la prévision pour les marchés de l’énergie. P Gaillard Paris 11, 2015 | 8 | 2015 |
| 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 | 7 | 2019 |
| Sparse accelerated exponential weights P Gaillard, O Wintenberger Artificial Intelligence and Statistics, 75-82, 2017 | 7 | 2017 |
| 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 | 6 | 2015 |
| 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 | 6 | 2011 |
| Le Lasso, ou comment choisir parmi un grand nombre de variables ā l'aide de peu d'observations A Ismaili, P Gaillard Exposé de maîtrise, 2009 | 3 | 2009 |
| Target Tracking for Contextual Bandits: Application to Demand Side Management M Brégčre, P Gaillard, Y Goude, G Stoltz arXiv preprint arXiv:1901.09532, 2019 | 2 | 2019 |
| Efficient online learning with kernels for adversarial large scale problems R Jézéquel, P Gaillard, A Rudi Advances in Neural Information Processing Systems, 9432-9441, 2019 | 2 | 2019 |
| Efficient online algorithms for fast-rate regret bounds under sparsity P Gaillard, O Wintenberger Advances in Neural Information Processing Systems, 7026-7036, 2018 | 2 | 2018 |
| The CATHARE code condensation modelling confronted to the TOPFLOW-PTS steady-state experiments F Moutin, P Gaillard, D Bestion, I Dor, P Germain NURETH 16-16th International Topical Meeting on Nuclear Reactor Thermal …, 2015 | 2 | 2015 |
| Lecture Notes: Beyond Empirical Risk minimization Local Averages and K-Nearest Neighbors A Rudi, P Gaillard | | 2019 |
