Gilles Stoltz - RankMe

65 papers A* 13A 1B 7Journal 42Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Blackwell's Approachability for Sequential Conformal Inference. CoRR Guillaume Principato, Gilles Stoltz
2025	A	`conf`	Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization. AISTATS Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz
2025	J	`jnl`	Online Matching via Reinforcement Learning: An Expert Policy Orchestration Strategy. CoRR Chiara Mignacco, Matthieu Jonckheere, Gilles Stoltz
2025	J	`jnl`	Policy Optimization via Adv2: Adversarial Learning on Advantage Functions. Trans. Mach. Learn. Res. Matthieu Jonckheere, Chiara Mignacco, Gilles Stoltz
2024	J	`jnl`	Conformal Prediction for Hierarchical Data. CoRR Guillaume Principato, Yvenn Amara-Ouali, Yannig Goude, Bachir Hamrouche, Jean-Michel Poggi, Gilles Stoltz
2024	J	`jnl`	Diversity-Preserving K-Armed Bandits, Revisited. Trans. Mach. Learn. Res. Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
2024	J	`jnl`	Narrowing the Gap between Adversarial and Stochastic MDPs via Policy Optimization. CoRR Daniil Tiapkin, Evgenii Chzhen, Gilles Stoltz
2023	J	`jnl`	Adaptation to the Range in K-Armed Bandits. J. Mach. Learn. Res. Hédi Hadiji, Gilles Stoltz
2023	B	`conf`	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. ALT Antoine Barrier, Aurélien Garivier, Gilles Stoltz
2023	A*	`conf`	Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness. NeurIPS Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz
2023	J	`jnl`	Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness. CoRR Evgenii Chzhen, Christophe Giraud, Zhen Li, Gilles Stoltz
2023	J	`jnl`	Symphony of experts: orchestration with adversarial insights in reinforcement learning. CoRR Matthieu Jonckheere, Chiara Mignacco, Gilles Stoltz
2022	A*	`conf`	Contextual Bandits with Knapsacks for a Conversion Model. NeurIPS Zhen Li, Gilles Stoltz
2022	J	`jnl`	Contextual Bandits with Knapsacks for a Conversion Model. CoRR Zhen Li, Gilles Stoltz
2022	J	`jnl`	KL-UCB-Switch: Optimal Regret Bounds for Stochastic Bandits from Both a Distribution-Dependent and a Distribution-Free Viewpoints. J. Mach. Learn. Res. Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
2022	J	`jnl`	On Best-Arm Identification with a Fixed Budget in Non-Parametric Multi-Armed Bandits. CoRR Antoine Barrier, Aurélien Garivier, Gilles Stoltz
2021	A*	`conf`	A Unified Approach to Fair Online Learning via Blackwell Approachability. NeurIPS Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
2021	J	`jnl`	A Unified Approach to Fair Online Learning via Blackwell Approachability. CoRR Evgenii Chzhen, Christophe Giraud, Gilles Stoltz
2020	J	`jnl`	Diversity-Preserving K-Armed Bandits, Revisited. CoRR Hédi Hadiji, Sébastien Gerchinovitz, Jean-Michel Loubes, Gilles Stoltz
2019	J	`jnl`	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. Math. Oper. Res. Aurélien Garivier, Pierre Ménard, Gilles Stoltz
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	J	`jnl`	KL-UCB-switch: optimal regret bounds for stochastic bandits from both a distribution-dependent and a distribution-free viewpoints. CoRR Aurélien Garivier, Hédi Hadiji, Pierre Ménard, Gilles Stoltz
2018	J	`jnl`	Sequential model aggregation for production forecasting. CoRR Raphaël Deswarte, Véronique Gervais, Gilles Stoltz, Sébastien Da Veiga
2018	J	`jnl`	Uniform regret bounds over R CoRR Pierre Gaillard, Sébastien Gerchinovitz, Malo Huard, Gilles Stoltz
2017	J	`jnl`	Fano's inequality for random variables. CoRR Sébastien Gerchinovitz, Pierre Ménard, Gilles Stoltz
2016	J	`jnl`	Explore First, Exploit Next: The True Shape of Regret in Bandit Problems. CoRR Aurélien Garivier, Pierre Ménard, Gilles Stoltz
2014	J	`jnl`	A Second-order Bound with Excess Losses. CoRR Pierre Gaillard, Gilles Stoltz, Tim van Erven
2014	A*	`conf`	A second-order bound with excess losses. COLT Pierre Gaillard, Gilles Stoltz, Tim van Erven
2014	A*	`conf`	Approachability in unknown games: Online learning meets multi-objective optimization. COLT Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	J	`jnl`	Approachability in unknown games: Online learning meets multi-objective optimization. CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
2014	J	`jnl`	Guest Editors' foreword. Theor. Comput. Sci. Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
2014	J	`jnl`	Set-valued approachability and online learning with partial monitoring. J. Mach. Learn. Res. Shie Mannor, Vianney Perchet, Gilles Stoltz
2013	J	`jnl`	A Primal Condition for Approachability with Partial Monitoring CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
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	B	`ed.`	Algorithmic Learning Theory - 23rd International Conference, ALT 2012, Lyon, France, October 29-31, 2012. Proceedings ALT Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
2012	B	`conf`	Editors' Introduction. ALT Nader H. Bshouty, Gilles Stoltz, Nicolas Vayatis, Thomas Zeugmann
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
2011	A*	`conf`	A Finite-Time Analysis of Multi-armed Bandits Problems with Kullback-Leibler Divergences. COLT Odalric-Ambrym Maillard, Rémi Munos, Gilles Stoltz
2011	B	`conf`	Lipschitz Bandits without the Lipschitz Constant. ALT Sébastien Bubeck, Gilles Stoltz, Jia Yuan Yu
2011	J	`jnl`	Pure exploration in finitely-armed and continuous-armed bandits. Theor. Comput. Sci. Sébastien Bubeck, Rémi Munos, Gilles Stoltz
2011	J	`jnl`	Robust approachability and regret minimization in games with partial monitoring CoRR Shie Mannor, Vianney Perchet, Gilles Stoltz
2011	A*	`conf`	Robust approachability and regret minimization in games with partial monitoring. COLT Shie Mannor, Vianney Perchet, Gilles Stoltz
2010	J	`jnl`	A Geometric Proof of Calibration. Math. Oper. Res. Shie Mannor, Gilles Stoltz
2010	J	`jnl`	X-Armed Bandits CoRR Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári
2009	J	`jnl`	Online Multi-task Learning with Hard Constraints CoRR Gábor Lugosi, Omiros Papaspiliopoulos, Gilles Stoltz
2009	A*	`conf`	Online Multi-task Learning with Hard Constraints. COLT Gábor Lugosi, Omiros Papaspiliopoulos, Gilles Stoltz
2009	B	`conf`	Pure Exploration in Multi-armed Bandits Problems. ALT Sébastien Bubeck, Rémi Munos, Gilles Stoltz
2008	—	`conf`	Online Optimization in X-Armed Bandits. NIPS Sébastien Bubeck, Rémi Munos, Gilles Stoltz, Csaba Szepesvári
2008	J	`jnl`	Pure Exploration for Multi-Armed Bandit Problems CoRR Sébastien Bubeck, Rémi Munos, Gilles Stoltz
2008	J	`jnl`	Strategies for Prediction Under Imperfect Monitoring. Math. Oper. Res. Gábor Lugosi, Shie Mannor, Gilles Stoltz
2007	J	`jnl`	Improved second-order bounds for prediction with expert advice. Mach. Learn. Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz
2007	J	`jnl`	Learning correlated equilibria in games with compact sets of strategies. Games Econ. Behav. Gilles Stoltz, Gábor Lugosi
2007	A*	`conf`	Strategies for Prediction Under Imperfect Monitoring. COLT Gábor Lugosi, Shie Mannor, Gilles Stoltz
2007	J	`jnl`	Strategies for prediction under imperfect monitoring CoRR Gábor Lugosi, Shie Mannor, Gilles Stoltz
2006	B	`conf`	Regret Minimization Under Partial Monitoring. ITW Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
2006	J	`jnl`	Regret Minimization Under Partial Monitoring. Math. Oper. Res. Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
2005	A*	`conf`	Improved Second-Order Bounds for Prediction with Expert Advice. COLT Nicolò Cesa-Bianchi, Yishay Mansour, Gilles Stoltz
2005	J	`jnl`	Internal Regret in On-Line Portfolio Selection. Mach. Learn. Gilles Stoltz, Gábor Lugosi
2005	J	`jnl`	Minimizing regret with label efficient prediction. IEEE Trans. Inf. Theory Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
2004	A*	`conf`	Minimizing Regret with Label Efficient Prediction. COLT Nicolò Cesa-Bianchi, Gábor Lugosi, Gilles Stoltz
2003	A*	`conf`	Internal Regret in On-Line Portfolio Selection. COLT Gilles Stoltz, Gábor Lugosi