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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
Conference papers
hal-02510505v3
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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
Conference papers
hal-01994144v2
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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
Conference papers
hal-00670514v2
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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
Conference papers
hal-03370530v1
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Accelerated Gossip in Networks of Given Dimension using Jacobi Polynomial Iterations
Raphaël Berthier
,
Francis Bach
,
Pierre Gaillard
2019
Preprints, Working Papers, ...
hal-01797016v2
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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
Preprints, Working Papers, ...
hal-02507132v1
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Efficient and Near-Optimal Online Portfolio Selection
Rémi Jézéquel
,
Dmitrii M. Ostrovskii
,
Pierre Gaillard
2022
Preprints, Working Papers, ...
hal-03787674v1
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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
Conference papers
hal-03451845v1
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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
Conference papers
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
Conference papers
hal-03575953v1
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A Chaining Algorithm for Online Nonparametric Regression
Pierre Gaillard
,
Sébastien Gerchinovitz
COLT 2015, Jul 2015, Paris, France. pp.764-796
Conference papers
hal-01120813v2
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Efficient online learning with kernels for adversarial large scale problems
Rémi Jézéquel
,
Pierre Gaillard
,
Alessandro Rudi
2019
Preprints, Working Papers, ...
hal-02019402v2
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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
Conference papers
hal-03405165v1
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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
Theses
tel-01250027v1
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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
Conference papers
hal-01798201v1
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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
Conference papers
hal-03922380v1
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Online Learning and Game Theory. A quick overview with recent results and applications
Mathieu Faure
,
Pierre Gaillard
,
Bruno Gaujal
,
Vianney Perchet
Journal articles
hal-01237039v1
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A consistent deterministic regression tree for non-parametric prediction of time series
Pierre Gaillard
,
Paul Baudin
2014
Preprints, Working Papers, ...
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
Conference papers
hal-01376808v1
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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
Conference papers
hal-03221512v1
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Sequential Counterfactual Risk Minimization
Houssam Zenati
,
Julien Mairal
,
Matthieu Martin
,
Eustache Diemert
,
Pierre Gaillard
et al.
2023
Preprints, Working Papers, ...
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
Conference papers
hal-01476771v2
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A Second-order Bound with Excess Losses
Pierre Gaillard
,
Gilles Stoltz
,
Tim van Erven
2014
Preprints, Working Papers, ...
hal-00943665v1
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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
Conference papers
hal-02866755v2
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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
Conference papers
hal-02894974v1
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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
Proceedings of The 26th International Conference on Artificial Intelligence and Statistics, Apr 2023, Valence (Espagne), Spain. pp.7755--7773
Conference papers
hal-03922350v1
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Improved sleeping bandits with stochastic action sets and adversarial rewards
Aadirupa Saha
,
Pierre Gaillard
,
Michal Valko
International Conference on Machine Learning, 2020, Vienna, Austria
Conference papers
hal-02950106v1
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A Continuized View on Nesterov Acceleration
Raphaël Berthier
,
Francis Bach
,
Nicolas Flammarion
,
Pierre Gaillard
,
Adrien Taylor
et al.
2021
Preprints, Working Papers, ...
hal-03138823v1
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Forecasting electricity consumption by aggregating specialized experts
Marie Devaine
,
Pierre Gaillard
,
Yannig Goude
,
Gilles Stoltz
Journal articles
hal-00484940v3
|
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Non-stationary Online Regression
Anant Raj
,
Pierre Gaillard
,
Christophe Saad
2020
Preprints, Working Papers, ...
hal-02998781v1
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