Pierre Gaillard

87 papers A* 18A 5B 4Journal 53Unranked 6

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	(Online) Convex Optimization for Demand-Side Management: Application to Thermostatically Controlled Loads. J. Optim. Theory Appl. Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
2025	J	`jnl`	Aggregation methods and comparative study in time-to-event analysis models. Int. J. Data Sci. Anal. Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
2025	J	`jnl`	Counterfactual Learning of Stochastic Policies with Continuous Actions. Trans. Mach. Learn. Res. Houssam Zenati, Alberto Bietti, Matthieu Martin, Eustache Diemert, Pierre Gaillard, Julien Mairal
2025	J	`jnl`	Double Wronskian Representation of the Nth-Order Solutions to the Davey-Stewartson Equations. Axioms Pierre Gaillard
2025	J	`jnl`	Enjoying Non-linearity in Multinomial Logistic Bandits. CoRR Pierre Boudart, Pierre Gaillard, Alessandro Rudi
2025	A*	`conf`	Finally Rank-Breaking Conquers MNL Bandits: Optimal and Efficient Algorithms for MNL Assortment. ICLR Aadirupa Saha, Pierre Gaillard
2025	B	`conf`	Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. ALT Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2025	B	`conf`	Minimax-optimal and Locally-adaptive Online Nonparametric Regression. ALT Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
2025	A*	`conf`	Online Episodic Convex Reinforcement Learning. ICML Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brégère, Nadia Oudjane
2025	J	`jnl`	Online Episodic Convex Reinforcement Learning. CoRR Bianca Marin Moreno, Khaled Eldowa, Pierre Gaillard, Margaux Brégère, Nadia Oudjane
2025	J	`jnl`	Rogue Waves in the Nonlinear Schrödinger, Kadomtsev-Petviashvili, Lakshmanan-Porsezian-Daniel and Hirota Equations. Axioms Pierre Gaillard
2025	J	`jnl`	Solutions to the Sine-Gordon Equation: From Darboux Transformations to Wronskian Representations of the k-Negaton-l-Positon-n-Soliton Solutions. Axioms Pierre Gaillard
2024	J	`jnl`	Covariance-Adaptive Least-Squares Algorithm for Stochastic Combinatorial Semi-Bandits. CoRR Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2024	A	`conf`	Efficient Model-Based Concave Utility Reinforcement Learning through Greedy Mirror Descent. AISTATS Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
2024	J	`jnl`	Experimental Comparison of Ensemble Methods and Time-to-Event Analysis Models Through Integrated Brier Score and Concordance Index. CoRR Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
2024	J	`jnl`	Fredholm Determinant and Wronskian Representations of the Solutions to the Schrödinger Equation with a KdV-Potential. Axioms Pierre Gaillard
2024	J	`jnl`	Logarithmic Regret for Unconstrained Submodular Maximization Stochastic Bandit. CoRR Julien Zhou, Pierre Gaillard, Thibaud Rahier, Julyan Arbel
2024	A*	`conf`	MetaCURL: Non-stationary Concave Utility Reinforcement Learning. NeurIPS Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
2024	J	`jnl`	MetaCURL: Non-stationary Concave Utility Reinforcement Learning. CoRR Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
2024	J	`jnl`	Minimax-optimal and Locally-adaptive Online Nonparametric Regression. CoRR Paul Liautaud, Pierre Gaillard, Olivier Wintenberger
2024	J	`jnl`	Online Learning Approach for Survival Analysis. CoRR Camila Fernandez, Pierre Gaillard, Joseph De Vilmarest, Olivier Wintenberger
2024	J	`jnl`	Stop Relying on No-Choice and Do not Repeat the Moves: Optimal, Efficient and Practical Algorithms for Assortment Optimization. CoRR Aadirupa Saha, Pierre Gaillard
2024	—	`conf`	Strategy Repair for Reachability Games (short paper). ICTCS Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli
2024	J	`jnl`	Structured Prediction in Online Learning. CoRR Pierre Boudart, Alessandro Rudi, Pierre Gaillard
2024	A*	`conf`	Towards Efficient and Optimal Covariance-Adaptive Algorithms for Combinatorial Semi-Bandits. NeurIPS Julien Zhou, Pierre Gaillard, Thibaud Rahier, Houssam Zenati, Julyan Arbel
2024	—	`conf`	Towards Strategy Repair for Adjustable Autonomy. AAPEI@ECAI Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli
2023	J	`jnl`	Adaptive approximation of monotone functions. CoRR Pierre Gaillard, Sébastien Gerchinovitz, Étienne de Montbrun
2023	A	`conf`	One Arrow, Two Kills: A Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. AISTATS Pierre Gaillard, Aadirupa Saha, Soham Dan
2023	J	`jnl`	Reimagining Demand-Side Management with Mean Field Learning. CoRR Bianca Marin Moreno, Margaux Brégère, Pierre Gaillard, Nadia Oudjane
2023	A*	`conf`	Sequential Counterfactual Risk Minimization. ICML Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2023	J	`jnl`	Sequential Counterfactual Risk Minimization. CoRR Houssam Zenati, Eustache Diemert, Matthieu Martin, Julien Mairal, Pierre Gaillard
2023	A	`conf`	Strategy Repair in Reachability Games. ECAI Pierre Gaillard, Fabio Patrizi, Giuseppe Perelli
2022	J	`jnl`	Efficient Kernel UCB for Contextual Bandits. CoRR Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022	A	`conf`	Efficient Kernelized UCB for Contextual Bandits. AISTATS Houssam Zenati, Alberto Bietti, Eustache Diemert, Julien Mairal, Matthieu Martin, Pierre Gaillard
2022	J	`jnl`	One Arrow, Two Kills: An Unified Framework for Achieving Optimal Regret Guarantees in Sleeping Bandits. CoRR Pierre Gaillard, Aadirupa Saha, Soham Dan
2022	A*	`conf`	Versatile Dueling Bandits: Best-of-both World Analyses for Learning from Relative Preferences. ICML Aadirupa Saha, Pierre Gaillard
2022	J	`jnl`	Versatile Dueling Bandits: Best-of-both-World Analyses for Online Learning from Preferences. CoRR Aadirupa Saha, Pierre Gaillard
2021	J	`jnl`	A Continuized View on Nesterov Acceleration for Stochastic Gradient Descent and Randomized Gossip. CoRR Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Hadrien Hendrikx, Laurent Massoulié, Adrien B. Taylor
2021	J	`jnl`	A Continuized View on Nesterov Acceleration. CoRR Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Pierre Gaillard, Adrien B. Taylor
2021	A*	`conf`	Continuized Accelerations of Deterministic and Stochastic Gradient Descents, and of Gossip Algorithms. NeurIPS Mathieu Even, Raphaël Berthier, Francis R. Bach, Nicolas Flammarion, Hadrien Hendrikx, Pierre Gaillard, Laurent Massoulié, Adrien B. Taylor
2021	A*	`conf`	Dueling Bandits with Adversarial Sleeping. NeurIPS Aadirupa Saha, Pierre Gaillard
2021	J	`jnl`	Dueling Bandits with Adversarial Sleeping. CoRR Aadirupa Saha, Pierre Gaillard
2021	A*	`conf`	Mixability made efficient: Fast online multiclass logistic regression. NeurIPS Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2021	J	`jnl`	Mixability made efficient: Fast online multiclass logistic regression. CoRR Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2021	J	`jnl`	Online Sign Identification: Minimization of the Number of Errors in Thresholding Bandits. CoRR Reda Ouhamma, Rémy Degenne, Pierre Gaillard, Vianney Perchet
2021	J	`jnl`	Online nonparametric regression with Sobolev kernels. CoRR Oleksandr Zadorozhnyi, Pierre Gaillard, Sébastien Gerchinovitz, Alessandro Rudi
2020	J	`jnl`	Accelerated Gossip in Networks of Given Dimension Using Jacobi Polynomial Iterations. SIAM J. Math. Data Sci. Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	A*	`conf`	Efficient improper learning for online logistic regression. COLT Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2020	J	`jnl`	Efficient improper learning for online logistic regression. CoRR Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2020	J	`jnl`	Experimental Comparison of Semi-parametric, Parametric, and Machine Learning Models for Time-to-Event Analysis Through the Concordance Index. CoRR Camila Fernandez, Chung Shue Chen, Pierre Gaillard, Alonso Silva
2020	A*	`conf`	Improved Sleeping Bandits with Stochastic Action Sets and Adversarial Rewards. ICML Aadirupa Saha, Pierre Gaillard, Michal Valko
2020	J	`jnl`	Improved Sleeping Bandits with Stochastic Actions Sets and Adversarial Rewards. CoRR Aadirupa Saha, Pierre Gaillard, Michal Valko
2020	J	`jnl`	Non-stationary Online Regression. CoRR Anant Raj, Pierre Gaillard, Christophe Saad
2020	A*	`conf`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. NeurIPS Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2020	J	`jnl`	Tight Nonparametric Convergence Rates for Stochastic Gradient Descent under the Noiseless Linear Model. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2019	A*	`conf`	Efficient online learning with kernels for adversarial large scale problems. NeurIPS Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2019	J	`jnl`	Efficient online learning with kernels for adversarial large scale problems. CoRR Rémi Jézéquel, Pierre Gaillard, Alessandro Rudi
2019	A*	`conf`	Target Tracking for Contextual Bandits: Application to Demand Side Management. ICML Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2019	J	`jnl`	Target Tracking for Contextual Bandits: Application to Demand Side Management. CoRR Margaux Brégère, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2019	B	`conf`	Uniform regret bounds over R ALT Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
2018	A*	`conf`	Efficient online algorithms for fast-rate regret bounds under sparsity. NeurIPS Pierre Gaillard, Olivier Wintenberger
2018	J	`jnl`	Efficient online algorithms for fast-rate regret bounds under sparsity. CoRR Pierre Gaillard, Olivier Wintenberger
2018	J	`jnl`	Gossip of Statistical Observations using Orthogonal Polynomials. CoRR Raphaël Berthier, Francis R. Bach, Pierre Gaillard
2018	J	`jnl`	Uniform regret bounds over R CoRR Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
2017	A*	`conf`	Algorithmic Chaining and the Role of Partial Feedback in Online Nonparametric Learning. COLT Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
2017	J	`jnl`	Online Nonparametric Learning, Chaining, and the Role of Partial Feedback. CoRR Nicolò Cesa-Bianchi, Pierre Gaillard, Claudio Gentile, Sébastien Gerchinovitz
2017	A	`conf`	Sparse Accelerated Exponential Weights. AISTATS Pierre Gaillard, Olivier Wintenberger
2015	A*	`conf`	A Chaining Algorithm for Online Nonparametric Regression. COLT Pierre Gaillard, Sébastien Gerchinovitz
2015	J	`jnl`	A Chaining Algorithm for Online Nonparametric Regression. CoRR Pierre Gaillard, Sébastien Gerchinovitz
2015	—	`conf`	Association of array processing and statistical modelling for seismic event monitoring. EUSIPCO Paul Bui Quang, Pierre Gaillard, Yoann Cano
2015	—	`—`	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. (Contributions to online robust aggregation : work on the approximation error and on probabilistic forecasting. Applications to forecasting for energy markets). Pierre Gaillard
2015	J	`jnl`	Detection and classification of seismic events with progressive multi-channel correlation and hidden Markov models. Comput. Geosci. Paul Bui Quang, Pierre Gaillard, Yoann Cano, Munkhuu Ulzibat
2014	J	`jnl`	A Second-order Bound with Excess Losses. CoRR Pierre Gaillard, Gilles Stoltz, Tim van Erven
2014	J	`jnl`	A consistent deterministic regression tree for non-parametric prediction of time series. CoRR Pierre Gaillard, Paul Baudin
2014	A*	`conf`	A second-order bound with excess losses. COLT Pierre Gaillard, Gilles Stoltz, Tim van Erven
2013	J	`jnl`	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. Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2012	J	`jnl`	A new look at shifting regret CoRR Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi, Gilles Stoltz
2012	J	`jnl`	Forecasting electricity consumption by aggregating specialized experts CoRR Marie Devaine, Pierre Gaillard, Yannig Goude, Gilles Stoltz
2012	—	`conf`	Mirror Descent Meets Fixed Share (and feels no regret). NIPS Nicolò Cesa-Bianchi, Pierre Gaillard, Gábor Lugosi, Gilles Stoltz
2010	J	`jnl`	Un graphe génératif pour la classification semi-supervisée. Ingénierie des Systèmes d Inf. Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2009	J	`jnl`	Le Graphe Génératif Gaussien. Monde des Util. Anal. Données Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2008	J	`jnl`	Learning topology of a labeled data set with the supervised generative Gaussian graph. Neurocomputing Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2008	J	`jnl`	Mesurer et visualiser les distorsions dans les techniques de projection continues. Rev. d'Intelligence Artif. Michaël Aupetit, Pierre Gaillard
2008	—	`conf`	Un modèle génératif pour l'Apprentissage de la Topologie. AAFD Michaël Aupetit, Pierre Gaillard, Gérard Govaert
2007	—	`conf`	Apprentissage statistique de la topologie d'un ensemble de données étiquetées. EGC Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2007	B	`conf`	Learning topology of a labeled data set with the supervised generative gaussian graph. ESANN Pierre Gaillard, Michaël Aupetit, Gérard Govaert
2006	J	`jnl`	How to help seismic analysts to verify the French seismic bulletin? Eng. Appl. Artif. Intell. David Mercier, Pierre Gaillard, Michaël Aupetit, Carole Maillard, Robert Quach, Jean-Denis Muller