Ciara Pike-Burke

According to our database, Ciara Pike-Burke authored at least 18 papers between 2017 and 2024.

Collaborative distances:

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

2024

QuACK: A Multipurpose Queuing Algorithm for Cooperative <i>k</i>-Armed Bandits.

Benjamin Howson, Sarah Filippi, Ciara Pike-Burke

CoRR, 2024

Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity.

Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Bandit problems with fidelity rewards.

Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle

J. Mach. Learn. Res., 2023

Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning.

Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal

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

Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes.

Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

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

Delayed Feedback in Kernel Bandits.

Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke

Proceedings of the International Conference on Machine Learning, 2023

Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts.

Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi

Proceedings of the International Conference on Machine Learning, 2023

Delayed Feedback in Generalised Linear Bandits Revisited.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Optimism and Delays in Episodic Reinforcement Learning.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Exact algorithms for the 0-1 Time-Bomb Knapsack Problem.

Michele Monaci, Ciara Pike-Burke, Alberto Santini

Comput. Oper. Res., 2022

2021

Delayed Feedback in Episodic Reinforcement Learning.

Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

CoRR, 2021

Local Differential Privacy for Regret Minimization in Reinforcement Learning.

Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020

Local Differentially Private Regret Minimization in Reinforcement Learning.

Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

CoRR, 2020

A Unifying View of Optimism in Episodic Reinforcement Learning.

Gergely Neu, Ciara Pike-Burke

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

2019

Recovering Bandits.

Ciara Pike-Burke, Steffen Grünewälder

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

2018

Bandits with Delayed, Aggregated Anonymous Feedback.

Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder

Proceedings of the 35th International Conference on Machine Learning, 2018

2017

Bandits with Delayed Anonymous Feedback.

Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder

CoRR, 2017

Optimistic Planning for the Stochastic Knapsack Problem.

Ciara Pike-Burke, Steffen Grünewälder

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