Claire Vernade

52 papers A* 11A 4B 3Journal 31Unranked 3

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	A Pontryagin Perspective on Reinforcement Learning. L4DC Onno Eberhard, Claire Vernade, Michael Muehlebach
2025	J	`jnl`	Clustered KL-barycenter design for policy evaluation. CoRR Simon Weissmann, Till Freihaut, Claire Vernade, Giorgia Ramponi, Leif Döring
2025	J	`jnl`	Efficient Risk-sensitive Planning via Entropic Risk Measures. CoRR Alexandre Marthe, Samuel Bounan, Aurélien Garivier, Claire Vernade
2025	J	`jnl`	Non-Stationary Lipschitz Bandits. CoRR Nicolas Nguyen, Solenne Gaucher, Claire Vernade
2025	A*	`conf`	Partially Observable Reinforcement Learning with Memory Traces. ICML Onno Eberhard, Michael Muehlebach, Claire Vernade
2025	J	`jnl`	Partially Observable Reinforcement Learning with Memory Traces. CoRR Onno Eberhard, Michael Muehlebach, Claire Vernade
2025	A	`conf`	Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits. AISTATS Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
2025	J	`jnl`	Put CASH on Bandits: A Max K-Armed Problem for Automated Machine Learning. CoRR Amir Rezaei Balef, Claire Vernade, Katharina Eggensperger
2025	J	`jnl`	Quantization-Free Autoregressive Action Transformer. CoRR Ziyad Sheebaelhamd, Michael Tschannen, Michael Muehlebach, Claire Vernade
2024	J	`jnl`	A Pontryagin Perspective on Reinforcement Learning. CoRR Onno Eberhard, Claire Vernade, Michael Muehlebach
2024	B	`ed.`	International Conference on Algorithmic Learning Theory, 25-28 February 2024, La Jolla, California, USA. ALT Claire Vernade, Daniel Hsu
2024	J	`jnl`	Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms. RLJ Mohammad Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh
2024	J	`jnl`	Online Decision Deferral under Budget Constraints. CoRR Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi
2024	J	`jnl`	Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits. CoRR Nicolas Nguyen, Imad Aouali, András György, Claire Vernade
2023	A*	`conf`	Beyond Average Return in Markov Decision Processes. NeurIPS Alexandre Marthe, Aurélien Garivier, Claire Vernade
2023	J	`jnl`	Beyond Average Return in Markov Decision Processes. CoRR Alexandre Marthe, Aurélien Garivier, Claire Vernade
2023	J	`jnl`	POMRL: No-Regret Learning-to-Plan with Increasing Horizons. Trans. Mach. Learn. Res. Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
2022	A*	`conf`	EigenGame Unloaded: When playing games is better than optimizing. ICLR Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2022	J	`jnl`	Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms. CoRR Mohammad Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh
2022	J	`jnl`	POMRL: No-Regret Learning-to-Plan with Increasing Horizons. CoRR Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy
2021	A*	`conf`	Asymptotically Optimal Information-Directed Sampling. COLT Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári
2021	A	`conf`	Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. AISTATS Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári
2021	J	`jnl`	EigenGame Unloaded: When playing games is better than optimizing. CoRR Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2021	A*	`conf`	EigenGame: PCA as a Nash Equilibrium. ICLR Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2020	J	`jnl`	Asymptotically Optimal Information-Directed Sampling. CoRR Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári
2020	J	`jnl`	Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting. CoRR Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári
2020	J	`jnl`	EigenGame: PCA as a Nash Equilibrium. CoRR Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel
2020	A*	`conf`	Linear bandits with Stochastic Delayed Feedback. ICML Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner
2020	J	`jnl`	Non-Stationary Bandits with Intermediate Observations. CoRR Claire Vernade, András György, Timothy A. Mann
2020	A*	`conf`	Non-Stationary Delayed Bandits with Intermediate Observations. ICML Claire Vernade, András György, Timothy A. Mann
2020	B	`conf`	Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. ALT Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes
2020	A*	`conf`	Stochastic bandits with arm-dependent delays. ICML Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko
2020	J	`jnl`	Stochastic bandits with arm-dependent delays. CoRR Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko
2020	J	`jnl`	The Elliptical Potential Lemma Revisited. CoRR Alexandra Carpentier, Claire Vernade, Yasin Abbasi-Yadkori
2019	J	`jnl`	Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling. CoRR Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes
2019	A*	`conf`	Weighted Linear Bandits for Non-Stationary Environments. NeurIPS Yoan Russac, Claire Vernade, Olivier Cappé
2019	J	`jnl`	Weighted Linear Bandits for Non-Stationary Environments. CoRR Yoan Russac, Claire Vernade, Olivier Cappé
2018	J	`jnl`	Contextual Bandits under Delayed Feedback. CoRR Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner
2017	A*	`conf`	Bernoulli Rank-1 Bandits for Click Feedback. IJCAI Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2017	J	`jnl`	Bernoulli Rank-1 Bandits for Click Feedback. CoRR Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2017	—	`conf`	Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond. ECML/PKDD (2) Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
2017	J	`jnl`	Max K-armed bandit: On the ExtremeHunter algorithm and beyond. CoRR Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade
2017	A*	`conf`	Sparse Stochastic Bandits. COLT Joon Kwon, Vianney Perchet, Claire Vernade
2017	J	`jnl`	Sparse Stochastic Bandits. CoRR Joon Kwon, Vianney Perchet, Claire Vernade
2017	A	`conf`	Stochastic Bandit Models for Delayed Conversions. UAI Claire Vernade, Olivier Cappé, Vianney Perchet
2017	J	`jnl`	Stochastic Bandit Models for Delayed Conversions. CoRR Claire Vernade, Olivier Cappé, Vianney Perchet
2017	A	`conf`	Stochastic Rank-1 Bandits. AISTATS Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2016	—	`conf`	Multiple-Play Bandits in the Position-Based Model. NIPS Paul Lagrée, Claire Vernade, Olivier Cappé
2016	J	`jnl`	Multiple-Play Bandits in the Position-Based Model. CoRR Paul Lagrée, Claire Vernade, Olivier Cappé
2016	J	`jnl`	Stochastic Rank-1 Bandits. CoRR Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen
2015	J	`jnl`	Learning From Missing Data Using Selection Bias in Movie Recommendation. CoRR Claire Vernade, Olivier Cappé
2015	B	`conf`	Learning from missing data using selection bias in movie recommendation. DSAA Claire Vernade, Olivier Cappé