Claire Vernade

According to our database, Claire Vernade authored at least 25 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Online Decision Deferral under Budget Constraints.

Mirabel Reid, Tom Sühr, Claire Vernade, Samira Samadi

CoRR, 2024

A Pontryagin Perspective on Reinforcement Learning.

Onno Eberhard, Claire Vernade, Michael Muehlebach

CoRR, 2024

Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.

Nicolas Nguyen, Imad Aouali, András György, Claire Vernade

CoRR, 2024

Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms.

Mohammad Javad Azizi, Thang Duong, Yasin Abbasi-Yadkori, András György, Claire Vernade, Mohammad Ghavamzadeh

Proceedings of the 1st Reinforcement Learning Conference, 2024

2023

POMRL: No-Regret Learning-to-Plan with Increasing Horizons.

Khimya Khetarpal, Claire Vernade, Brendan O'Donoghue, Satinder Singh, Tom Zahavy

Trans. Mach. Learn. Res., 2023

Beyond Average Return in Markov Decision Processes.

Alexandre Marthe, Aurélien Garivier, Claire Vernade

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022

EigenGame Unloaded: When playing games is better than optimizing.

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

Proceedings of the Tenth International Conference on Learning Representations, 2022

2021

EigenGame: PCA as a Nash Equilibrium.

Ian Gemp, Brian McWilliams, Claire Vernade, Thore Graepel

Proceedings of the 9th International Conference on Learning Representations, 2021

Asymptotically Optimal Information-Directed Sampling.

Johannes Kirschner, Tor Lattimore, Claire Vernade, Csaba Szepesvári

Proceedings of the Conference on Learning Theory, 2021

Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting.

Ilja Kuzborskij, Claire Vernade, András György, Csaba Szepesvári

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

The Elliptical Potential Lemma Revisited.

Alexandra Carpentier, Claire Vernade, Yasin Abbasi-Yadkori

CoRR, 2020

Non-Stationary Bandits with Intermediate Observations.

Claire Vernade, András György, Timothy A. Mann

CoRR, 2020

Linear bandits with Stochastic Delayed Feedback.

Claire Vernade, Alexandra Carpentier, Tor Lattimore, Giovanni Zappella, Beyza Ermis, Michael Brückner

Proceedings of the 37th International Conference on Machine Learning, 2020

Non-Stationary Delayed Bandits with Intermediate Observations.

Claire Vernade, András György, Timothy A. Mann

Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic bandits with arm-dependent delays.

Anne Gael Manegueu, Claire Vernade, Alexandra Carpentier, Michal Valko

Proceedings of the 37th International Conference on Machine Learning, 2020

Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling.

Cindy Trinh, Emilie Kaufmann, Claire Vernade, Richard Combes

Proceedings of the Algorithmic Learning Theory, 2020

2019

Weighted Linear Bandits for Non-Stationary Environments.

Yoan Russac, Claire Vernade, Olivier Cappé

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

2018

Contextual Bandits under Delayed Feedback.

Claire Vernade, Alexandra Carpentier, Giovanni Zappella, Beyza Ermis, Michael Brückner

CoRR, 2018

2017

Stochastic Bandit Models for Delayed Conversions.

Claire Vernade, Olivier Cappé, Vianney Perchet

Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond.

Mastane Achab, Stéphan Clémençon, Aurélien Garivier, Anne Sabourin, Claire Vernade

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Bernoulli Rank-1 Bandits for Click Feedback.

Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse Stochastic Bandits.

Joon Kwon, Vianney Perchet, Claire Vernade

Proceedings of the 30th Conference on Learning Theory, 2017

Stochastic Rank-1 Bandits.

Sumeet Katariya, Branislav Kveton, Csaba Szepesvári, Claire Vernade, Zheng Wen

Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016

Multiple-Play Bandits in the Position-Based Model.

Paul Lagrée, Claire Vernade, Olivier Cappé

Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

2015

Learning from missing data using selection bias in movie recommendation.

Claire Vernade, Olivier Cappé

Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015