Claire Vernade

According to our database1, Claire Vernade authored at least 23 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Prior-Dependent Allocations for Bayesian Fixed-Budget Best-Arm Identification in Structured Bandits.
CoRR, 2024

2023
Beyond Average Return in Markov Decision Processes.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
POMRL: No-Regret Learning-to-Plan with Increasing Horizons.
CoRR, 2022

Non-stationary Bandits and Meta-Learning with a Small Set of Optimal Arms.
CoRR, 2022

EigenGame Unloaded: When playing games is better than optimizing.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
EigenGame: PCA as a Nash Equilibrium.
Proceedings of the 9th International Conference on Learning Representations, 2021

Asymptotically Optimal Information-Directed Sampling.
Proceedings of the Conference on Learning Theory, 2021

Confident Off-Policy Evaluation and Selection through Self-Normalized Importance Weighting.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
The Elliptical Potential Lemma Revisited.
CoRR, 2020

Non-Stationary Bandits with Intermediate Observations.
CoRR, 2020

Linear bandits with Stochastic Delayed Feedback.
Proceedings of the 37th International Conference on Machine Learning, 2020

Non-Stationary Delayed Bandits with Intermediate Observations.
Proceedings of the 37th International Conference on Machine Learning, 2020

Stochastic bandits with arm-dependent delays.
Proceedings of the 37th International Conference on Machine Learning, 2020

Solving Bernoulli Rank-One Bandits with Unimodal Thompson Sampling.
Proceedings of the Algorithmic Learning Theory, 2020

2019
Weighted Linear Bandits for Non-Stationary Environments.
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.
CoRR, 2018

2017
Stochastic Bandit Models for Delayed Conversions.
Proceedings of the Thirty-Third Conference on Uncertainty in Artificial Intelligence, 2017

Max K-Armed Bandit: On the ExtremeHunter Algorithm and Beyond.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2017

Bernoulli Rank-1 Bandits for Click Feedback.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Sparse Stochastic Bandits.
Proceedings of the 30th Conference on Learning Theory, 2017

Stochastic Rank-1 Bandits.
Proceedings of the 20th International Conference on Artificial Intelligence and Statistics, 2017

2016
Multiple-Play Bandits in the Position-Based Model.
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.
Proceedings of the 2015 IEEE International Conference on Data Science and Advanced Analytics, 2015


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