Pierre Gaillard

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 48

Top Venues

CoRR

NeurIPS

AISTATS

ICML

University of Paris-Sud, Orsay, France (PHD)

Education History

University of Paris-Sud, Orsay, France

PHD

Publications

Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR (2024)
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent. AISTATS (2024)
Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index. CoRR (2024)
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
MetaCURL: Non-stationary Concave Utility Reinforcement Learning. CoRR (2024)
Pierre Boudart, Alessandro Rudi, Pierre Gaillard
Structured Prediction in Online Learning. CoRR (2024)
Aadirupa Saha, Pierre Gaillard
Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization. CoRR (2024)
Camila Fernandez, Pierre Gaillard, Joseph De Vilmarest, Olivier Wintenberger
Online Learning Approach for Survival Analysis. CoRR (2024)
Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli
Strategy Repair in Reachability Games. ECAI (2023)
Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
Reimagining Demand-Side Management with Mean Field Learning. CoRR (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. CoRR (2023)
Pierre Gaillard, Sébastien Gerchinovitz, Étienne de Montbrun
Adaptive approximation of monotone functions. CoRR (2023)
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. AISTATS (2023)
Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
Sequential Counterfactual Risk Minimization. ICML (2023)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernel UCB for Contextual Bandits. CoRR (2022)
Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
Efficient Kernelized UCB for Contextual Bandits. AISTATS (2022)
Aadirupa Saha, Pierre Gaillard
Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences. ICML (2022)
Aadirupa Saha, Pierre Gaillard
Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences. CoRR (2022)
Pierre Gaillard, Aadirupa Saha, Soham Dan
One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. CoRR (2022)
Aadirupa Saha, Pierre Gaillard
Dueling Bandits with Adversarial Sleeping. CoRR (2021)
Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi
Online nonparametric regression with Sobolev kernels. CoRR (2021)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Mixability made efficient: Fast online multiclass logistic regression. CoRR (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS (2021)
Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien Taylor
A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR (2021)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Mixability made efficient: Fast online multiclass logistic regression. NeurIPS (2021)
Aadirupa Saha, Pierre Gaillard
Dueling Bandits with Adversarial Sleeping. NeurIPS (2021)
Reda Ouhamma, Rémy Degenne, Pierre Gaillard, Vianney Perchet
Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits. CoRR (2021)
Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien Taylor
A Continuized View on Nesterov Acceleration. CoRR (2021)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Efficient improper learning for online logistic regression. CoRR (2020)
Aadirupa Saha, Pierre Gaillard, Michal Valko
Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards. CoRR (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations. SIAM J. Math. Data Sci. 2 (1) (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. CoRR (2020)
Anant Raj, Pierre Gaillard, Christophe Saad
Non-stationary Online Regression. CoRR (2020)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. NeurIPS (2020)
Aadirupa Saha, Pierre Gaillard, Michal Valko
Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards. ICML (2020)
Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index. CoRR (2020)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Efficient improper learning for online logistic regression. COLT (2020)
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
for the sequential linear regression problem with the square loss. ALT (2019)
Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Target Tracking for Contextual Bandits: Application to Demand Side Management. CoRR (2019)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Efficient online learning with kernels for adversarial large scale problems. NeurIPS (2019)
Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
Efficient online learning with kernels for adversarial large scale problems. CoRR (2019)
Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Target Tracking for Contextual Bandits: Application to Demand Side Management. ICML (2019)
Pierre Gaillard, Olivier Wintenberger
Efficient online algorithms for fast-rate regret bounds under sparsity. CoRR (2018)
Raphaël Berthier, Francis R. Bach, Pierre Gaillard
Gossip of Statistical Observations using Orthogonal Polynomials. CoRR (2018)
Pierre Gaillard, Olivier Wintenberger
Efficient online algorithms for fast-rate regret bounds under sparsity. NeurIPS (2018)
Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
for the sequential linear regression problem with the square loss. CoRR (2018)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Online Nonparametric Learning, Chaining, and the Role of Partial Feedback. CoRR (2017)
Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. COLT (2017)
Pierre Gaillard, Olivier Wintenberger
Sparse Accelerated Exponential Weights. AISTATS (2017)
Pierre Gaillard, Sébastien Gerchinovitz
A Chaining Algorithm for Online Nonparametric Regression. CoRR (2015)
Pierre Gaillard, Sébastien Gerchinovitz
A Chaining Algorithm for Online Nonparametric Regression. COLT (2015)
Paul Bui Quang, Pierre Gaillard, Yoann Cano
Association of array processing and statistical modelling for seismic event monitoring. EUSIPCO (2015)
Paul Bui Quang, Pierre Gaillard, Yoann Cano, Munkhuu Ulzibat
Detection and classification of seismic events with progressive multi-channel correlation and hidden Markov models. Comput. Geosci. 83 (2015)
Pierre Gaillard, Gilles Stoltz, Tim van Erven
A Second-order Bound with Excess Losses. CoRR (2014)
Pierre Gaillard, Gilles Stoltz, Tim van Erven
A second-order bound with excess losses. COLT (2014)
Pierre Gaillard, Paul Baudin
A consistent deterministic regression tree for non-parametric prediction of time series. CoRR (2014)
Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Forecasting electricity consumption by aggregating specialized experts - A review of the sequential aggregation of specialized experts, with an application to Slovakian and French country-wide one-day-ahead (half-)hourly predictions. Mach. Learn. 90 (2) (2013)
Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi, Gilles Stoltz
A new look at shifting regret CoRR (2012)
Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
Forecasting electricity consumption by aggregating specialized experts CoRR (2012)
Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi, Gilles Stoltz
Mirror Descent Meets Fixed Share (and feels no regret). NIPS (2012)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. 15 (2) (2010)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Le Graphe Génératif Gaussien. Monde des Util. Anal. Données 40 (2009)
Michaël Aupetit, Pierre Gaillard, Gérard Govaert
Un modèle génératif pour l'Apprentissage de la Topologie. AAFD (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing 71 (7-9) (2008)
Michaël Aupetit, Pierre Gaillard
Mesurer et visualiser les distorsions dans les techniques de projection continues. Rev. d'Intelligence Artif. 22 (3-4) (2008)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN (2007)
Pierre Gaillard, Michaël Aupetit, Gérard Govaert
Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC (2007)
David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller
How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. Artif. Intell. 19 (7) (2006)

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Publication Activity (10 Years)

Top Topics

Top Venues

Pierre Gaillard