| 2025 | AISTATS | Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning. | Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke |
| 2025 | AISTATS | QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. | Benjamin Howson, Sarah Filippi, Ciara Pike-Burke |
| 2025 | AISTATS | Fixed-Budget Change Point Identification in Piecewise Constant Bandits. | Joseph Lazzaro, Ciara Pike-Burke |
| 2025 | ALT | When and why randomised exploration works (in linear bandits). | Marc Abeille, David Janz, Ciara Pike-Burke |
| 2025 | ICML | Fixed-Confidence Multiple Change Point Identification under Bandit Feedback. | Joseph Lazzaro, Ciara Pike-Burke |
| 2024 | ICLR | Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity. | Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini |
| 2023 | AISTATS | Optimism and Delays in Episodic Reinforcement Learning. | Benjamin Howson, Ciara Pike-Burke, Sarah Filippi |
| 2023 | AISTATS | Delayed Feedback in Generalised Linear Bandits Revisited. | Benjamin Howson, Ciara Pike-Burke, Sarah Filippi |
| 2023 | ICML | Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. | Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicol Cesa-Bianchi |
| 2023 | ICML | Delayed Feedback in Kernel Bandits. | Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke |
| 2018 | ICML | Bandits with Delayed, Aggregated Anonymous Feedback. | Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvri, Steffen Grnewlder |
| 2017 | AISTATS | Optimistic Planning for the Stochastic Knapsack Problem. | Ciara Pike-Burke, Steffen Grnewlder |