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Target Tracking for Contextual Bandits: Application to Demand Side Management

 Margaux Brégère , Pierre Gaillard , Yannig Goude , Gilles Stoltz
Thirty-sixth International Conference on Machine Learning, Jun 2019, Long Beach, United States. pp.754-763
Communication dans un congrès hal-01994144v2
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Efficient improper learning for online logistic regression

 Rémi Jézéquel , Pierre Gaillard , Alessandro Rudi
COLT 2020 - 33rd Annual Conference on Learning Theory, Jul 2020, Graz / Virtual, Austria
Communication dans un congrès hal-02510505v3
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A Chaining Algorithm for Online Nonparametric Regression

 Pierre Gaillard , Sébastien Gerchinovitz
COLT 2015, Jul 2015, Paris, France. pp.764-796
Communication dans un congrès hal-01120813v2
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Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits

 Reda Ouhamma , Rémy Degenne , Pierre Gaillard , Vianney Perchet
NeurIPS 2021 - 35th International Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada. pp.1-25
Communication dans un congrès hal-03363014v1
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Efficient Kernel UCB for Contextual Bandits

 Houssam Zenati , Alberto Bietti , Eustache Diemert , Julien Mairal , Matthieu Martin , et al.
International Conference on Artificial Intelligence and Statistics, Mar 2022, Valencia, Spain. pp.5689-5720
Communication dans un congrès hal-03575953v1
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Dueling Bandits with Adversarial Sleeping

 Aadirupa Saha , Pierre Gaillard
NeurIPS 2021 - 35th International Conference on Neural Information Processing Systems, Dec 2021, Virtual, Canada. pp.1-25
Communication dans un congrès hal-03451845v1
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Online Learning Approach for Survival Analysis

 Camila Fernandez , Pierre Gaillard , Joseph de Vilmarest , Olivier Wintenberger
2024
Pré-publication, Document de travail hal-04418099v1
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Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index

 Camila Fernandez , Chung Shue Chen , Pierre Gaillard , Alonso Silva
2020
Pré-publication, Document de travail hal-02507132v1
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Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations

 Raphaël Berthier , Francis Bach , Pierre Gaillard
2019
Pré-publication, Document de travail hal-01797016v2
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Mixability made efficient: Fast online multiclass logistic regression

 Rémi Jézéquel , Pierre Gaillard , Alessandro Rudi
NeurIPS 2021. Thirty-fifth Conference on Neural Information Processing Systems, Dec 2021, Online, France
Communication dans un congrès hal-03370530v1
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Efficient and Near-Optimal Online Portfolio Selection

 Rémi Jézéquel , Dmitrii M. Ostrovskii , Pierre Gaillard
2022
Pré-publication, Document de travail hal-03787674v1
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Mirror Descent Meets Fixed Share (and feels no regret)

 Nicolò Cesa-Bianchi , Pierre Gaillard , Gabor Lugosi , Gilles Stoltz
NIPS 2012, Dec 2012, Lake Tahoe, United States. Paper 471
Communication dans un congrès hal-00670514v2
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A consistent deterministic regression tree for non-parametric prediction of time series

 Pierre Gaillard , Paul Baudin
2014
Pré-publication, Document de travail hal-00987803v2
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Sparse Accelerated Exponential Weights

 Pierre Gaillard , Olivier Wintenberger
20th International Conference on Artificial Intelligence and Statistics (AISTATS), Apr 2017, Fort Lauderdale, United States
Communication dans un congrès hal-01376808v1
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Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent

 Bianca Marin Moreno , Margaux Brégère , Pierre Gaillard , Nadia Oudjane
2023
Pré-publication, Document de travail hal-04302000v1
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Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Methods for Time-to-Event Analysis Through the IPEC Score

 Camila Fernández , Chung Shue Chen , Pierre Gaillard , Alonso Silva
SFdS 2020 - 52èmes Journées de Statistiques de la Société Française de Statistique, Jun 2021, Nice, France. pp.1-6
Communication dans un congrès hal-03221512v1

Online Learning and Game Theory. A quick overview with recent results and applications

 Mathieu Faure , Pierre Gaillard , Bruno Gaujal , Vianney Perchet
ESAIM: Proceedings, 2015, 51, pp.246 - 271. ⟨10.1051/proc/201551014⟩
Article dans une revue hal-01237039v1
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Sequential Counterfactual Risk Minimization

 Houssam Zenati , Julien Mairal , Matthieu Martin , Eustache Diemert , Pierre Gaillard
ICML 2023 - 40th International Conference on Machine Learning, Jul 2023, Honololu, Hawaii, United States. pp.1-26
Communication dans un congrès hal-04106246v1
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Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning

 Nicolò Cesa-Bianchi , Pierre Gaillard , Claudio Gentile , Sébastien Gerchinovitz
COLT 2017, Jul 2017, Amsterdam, Netherlands. pp.465-481
Communication dans un congrès hal-01476771v2
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A Second-order Bound with Excess Losses

 Pierre Gaillard , Gilles Stoltz , Tim van Erven
2014
Pré-publication, Document de travail hal-00943665v1
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Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index

 Camila Fernandez , Chung Shue Chen , Pierre Gaillard , Alonso Silva
JDS 2020 - 52nd Statistics Days of the French Statistical Society (SFdS), May 2020, Nice, France
Communication dans un congrès hal-02894974v1
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Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model

 Raphaël Berthier , Francis Bach , Pierre Gaillard
NeurIPS '20 - 34th International Conference on Neural Information Processing Systems, Dec 2020, Vancouver, Canada. pp.2576--2586
Communication dans un congrès hal-02866755v2
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Adaptive approximation of monotone functions

 Pierre Gaillard , Sébastien Gerchinovitz , Étienne de Montbrun
2023
Pré-publication, Document de travail hal-04203136v1
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One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits

 Pierre Gaillard , Aadirupa Saha , Soham Dan
AISTATS 2023 - 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valence (Espagne), Spain. pp.7755--7773
Communication dans un congrès hal-03922350v1
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Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences

 Aadirupa Saha , Pierre Gaillard
ICML 2022 - 39th International Conference on Machine Learning, Jul 2022, Baltimore (MA), United States. pp.1-25
Communication dans un congrès hal-03922380v1
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A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip

 Mathieu Even , Raphaël Berthier , Francis Bach , Nicolas Flammarion , Pierre Gaillard , et al.
NeurIPS 2021 - 35th Conference on Neural Information Processing Systems, Dec 2021, Sydney (virtual), Australia. pp.1-32
Communication dans un congrès hal-03405165v1
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Efficient online algorithms for fast-rate regret bounds under sparsity

 Pierre Gaillard , Olivier Wintenberger
NIPS'18: Proceedings of the 32nd International Conference on Neural Information Processing Systems, Dec 2018, Montreal, France
Communication dans un congrès hal-01798201v1
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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.

 Pierre Gaillard
Machine Learning [stat.ML]. Université Paris Sud - Paris XI, 2015. Français. ⟨NNT : 2015PA112133⟩
Thèse tel-01250027v1
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(Online) Convex Optimization for Demand-Side Management: Application to Thermostatically Controlled Loads

 Bianca Marin Moreno , Margaux Brégère , Pierre Gaillard , Nadia Oudjane
2023
Pré-publication, Document de travail hal-03972660v3
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Efficient online learning with kernels for adversarial large scale problems

 Rémi Jézéquel , Pierre Gaillard , Alessandro Rudi
2019
Pré-publication, Document de travail hal-02019402v2
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