Pike-Burke, Ciara

23 publications

NeurIPS 2025 Does Stochastic Gradient Really Succeed for Bandits? Dorian Baudry, Emmeran Johnson, Simon Vary, Ciara Pike-Burke, Patrick Rebeschini

AISTATS 2025 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

AISTATS 2025 Fixed-Budget Change Point Identification in Piecewise Constant Bandits Joseph Lazzaro, Ciara Pike-Burke

ICML 2025 Fixed-Confidence Multiple Change Point Identification Under Bandit Feedback Joseph Lazzaro, Ciara Pike-Burke

NeurIPS 2025 On the Necessity of Adaptive Regularisation: Optimal Anytime Online Learning on $\boldsymbol{\ell_p}$-Balls Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke, Patrick Rebeschini

TMLR 2025 Posterior Sampling for Reinforcement Learning on Graphs Arnaud Robert, Aldo A. Faisal, Ciara Pike-Burke

AISTATS 2025 QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits Benjamin Howson, Sarah Lucie Filippi, Ciara Pike-Burke

NeurIPS 2025 Stochastic Shortest Path with Sparse Adversarial Costs Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini

ALT 2025 When and Why Randomised Exploration Works (in Linear Bandits) Marc Abeille, David Janz, Ciara Pike-Burke

ICLR 2024 Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

JMLR 2023 Bandit Problems with Fidelity Rewards Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle

AISTATS 2023 Delayed Feedback in Generalised Linear Bandits Revisited Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

ICML 2023 Delayed Feedback in Kernel Bandits Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke

NeurIPS 2023 Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

AISTATS 2023 Optimism and Delays in Episodic Reinforcement Learning Benjamin Howson, Ciara Pike-Burke, Sarah Filippi

NeurIPS 2023 Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning Arnaud Robert, Ciara Pike-Burke, Aldo A Faisal

ICMLW 2023 Sample Complexity of Hierarchical Decompositions in Markov Decision Processes Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal

ICML 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

NeurIPS 2021 Local Differential Privacy for Regret Minimization in Reinforcement Learning Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta

NeurIPS 2020 A Unifying View of Optimism in Episodic Reinforcement Learning Gergely Neu, Ciara Pike-Burke

NeurIPS 2019 Recovering Bandits Ciara Pike-Burke, Steffen Grunewalder

ICML 2018 Bandits with Delayed, Aggregated Anonymous Feedback Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvari, Steffen Grunewalder

AISTATS 2017 Optimistic Planning for the Stochastic Knapsack Problem Ciara Pike-Burke, Steffen Grünewälder