Marc Abeille - RankMe

26 papers A* 4A 4B 3Journal 15

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Multi-Armed Bandits with Minimum Aggregated Revenue Constraints. CoRR Ahmed Ben Yahmed, Hafedh El Ferchichi, Marc Abeille, Vianney Perchet
2025	J	`jnl`	On the hardness of RL with Lookahead. CoRR Corentin Pla, Hugo Richard, Marc Abeille, Nadav Merlis, Vianney Perchet
2025	B	`conf`	When and why randomised exploration works (in linear bandits). ALT Marc Abeille, David Janz, Ciara Pike-Burke
2025	J	`jnl`	When and why randomised exploration works (in linear bandits). CoRR Marc Abeille, David Janz, Ciara Pike-Burke
2024	B	`conf`	Near-continuous time Reinforcement Learning for continuous state-action spaces. ALT Lorenzo Croissant, Marc Abeille, Bruno Bouchard
2023	J	`jnl`	Diffusive Limit Approximation of Pure-Jump Optimal Stochastic Control Problems. J. Optim. Theory Appl. Marc Abeille, Bruno Bouchard, Lorenzo Croissant
2023	J	`jnl`	Near-continuous time Reinforcement Learning for continuous state-action spaces. CoRR Lorenzo Croissant, Marc Abeille, Bruno Bouchard
2022	A	`conf`	Jointly Efficient and Optimal Algorithms for Logistic Bandits. AISTATS Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
2022	J	`jnl`	Jointly Efficient and Optimal Algorithms for Logistic Bandits. CoRR Louis Faury, Marc Abeille, Kwang-Sung Jun, Clément Calauzènes
2021	B	`conf`	A Technical Note on Non-Stationary Parametric Bandits: Existing Mistakes and Preliminary Solutions. ALT Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
2021	A	`conf`	Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. AISTATS Marc Abeille, Louis Faury, Clément Calauzènes
2021	J	`jnl`	Regret Bounds for Generalized Linear Bandits under Parameter Drift. CoRR Louis Faury, Yoan Russac, Marc Abeille, Clément Calauzènes
2020	A*	`conf`	Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation. ICML Marc Abeille, Alessandro Lazaric
2020	J	`jnl`	Efficient Optimistic Exploration in Linear-Quadratic Regulators via Lagrangian Relaxation. CoRR Marc Abeille, Alessandro Lazaric
2020	A*	`conf`	Improved Optimistic Algorithms for Logistic Bandits. ICML Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	J	`jnl`	Improved Optimistic Algorithms for Logistic Bandits. CoRR Louis Faury, Marc Abeille, Clément Calauzènes, Olivier Fercoq
2020	J	`jnl`	Instance-Wise Minimax-Optimal Algorithms for Logistic Bandits. CoRR Marc Abeille, Louis Faury, Clément Calauzènes
2020	A*	`conf`	Real-Time Optimisation for Online Learning in Auctions. ICML Lorenzo Croissant, Marc Abeille, Clément Calauzènes
2020	J	`jnl`	Real-Time Optimisation for Online Learning in Auctions. CoRR Lorenzo Croissant, Marc Abeille, Clément Calauzènes
2019	J	`jnl`	Thompson Sampling in Non-Episodic Restless Bandits. CoRR Young Hun Jung, Marc Abeille, Ambuj Tewari
2018	J	`jnl`	Explicit shading strategies for repeated truthful auctions. CoRR Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Thomas Nedelec, Vianney Perchet
2018	A*	`conf`	Improved Regret Bounds for Thompson Sampling in Linear Quadratic Control Problems. ICML Marc Abeille, Alessandro Lazaric
2018	J	`jnl`	Thresholding the virtual value: a simple method to increase welfare and lower reserve prices in online auction systems. CoRR Thomas Nedelec, Marc Abeille, Clément Calauzènes, Noureddine El Karoui, Benjamin Heymann, Vianney Perchet
2017	A	`conf`	Linear Thompson Sampling Revisited. AISTATS Marc Abeille, Alessandro Lazaric
2017	A	`conf`	Thompson Sampling for Linear-Quadratic Control Problems. AISTATS Marc Abeille, Alessandro Lazaric
2016	J	`jnl`	Linear Thompson Sampling Revisited. CoRR Marc Abeille, Alessandro Lazaric