Ciara Pike-Burke

40 papers A* 11A 6B 1Journal 22

Year	Rank	Type	Title / Venue / Authors
2025	A	`conf`	Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning. AISTATS Gianluca Drappo, Arnaud Robert, Marcello Restelli, Aldo A. Faisal, Alberto Maria Metelli, Ciara Pike-Burke
2025	A	`conf`	Fixed-Budget Change Point Identification in Piecewise Constant Bandits. AISTATS Joseph Lazzaro, Ciara Pike-Burke
2025	J	`jnl`	Fixed-Budget Change Point Identification in Piecewise Constant Bandits. CoRR Joseph Lazzaro, Ciara Pike-Burke
2025	A*	`conf`	Fixed-Confidence Multiple Change Point Identification under Bandit Feedback. ICML Joseph Lazzaro, Ciara Pike-Burke
2025	J	`jnl`	Fixed-Confidence Multiple Change Point Identification under Bandit Feedback. CoRR Joseph Lazzaro, Ciara Pike-Burke
2025	A*	`conf`	Learning Fair And Effective Points-Based Rewards Programs. EC Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke
2025	J	`jnl`	Learning Fair And Effective Points-Based Rewards Programs. CoRR Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke
2025	J	`jnl`	Locally Differentially Private Thresholding Bandits. CoRR Annalisa Barbara, Joseph Lazzaro, Ciara Pike-Burke
2025	J	`jnl`	On the necessity of adaptive regularisation:Optimal anytime online learning on ℓ CoRR Emmeran Johnson, David Martínez-Rubio, Ciara Pike-Burke, Patrick Rebeschini
2025	J	`jnl`	Posterior Sampling for Reinforcement Learning on Graphs. Trans. Mach. Learn. Res. Arnaud Robert, Aldo A. Faisal, Ciara Pike-Burke
2025	A	`conf`	QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed Bandits. AISTATS Benjamin Howson, Sarah Filippi, Ciara Pike-Burke
2025	J	`jnl`	Stochastic Shortest Path with Sparse Adversarial Costs. CoRR Emmeran Johnson, Alberto Rumi, Ciara Pike-Burke, Patrick Rebeschini
2025	B	`conf`	When and why randomised exploration works (in linear bandits). ALT Marc Abeille, David Janz, Ciara Pike-Burke
2025	J	`jnl`	When and why randomised exploration works (in linear bandits). CoRR Marc Abeille, David Janz, Ciara Pike-Burke
2024	J	`jnl`	QuACK: A Multipurpose Queuing Algorithm for Cooperative CoRR Benjamin Howson, Sarah Filippi, Ciara Pike-Burke
2024	A*	`conf`	Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity. ICLR Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
2023	J	`jnl`	Bandit problems with fidelity rewards. J. Mach. Learn. Res. Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle
2023	A	`conf`	Delayed Feedback in Generalised Linear Bandits Revisited. AISTATS Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2023	A*	`conf`	Delayed Feedback in Kernel Bandits. ICML Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
2023	J	`jnl`	Delayed Feedback in Kernel Bandits. CoRR Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
2023	A*	`conf`	Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes. NeurIPS Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
2023	J	`jnl`	Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes. CoRR Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
2023	A	`conf`	Optimism and Delays in Episodic Reinforcement Learning. AISTATS Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2023	A*	`conf`	Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning. NeurIPS Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal
2023	J	`jnl`	Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity. CoRR Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
2023	A*	`conf`	Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. ICML Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
2023	J	`jnl`	Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. CoRR Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
2022	J	`jnl`	Delayed Feedback in Generalised Linear Bandits Revisited. CoRR Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2022	J	`jnl`	Exact algorithms for the 0-1 Time-Bomb Knapsack Problem. Comput. Oper. Res. Michele Monaci, Ciara Pike-Burke, Alberto Santini
2021	J	`jnl`	Bandit problems with fidelity rewards. CoRR Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle
2021	J	`jnl`	Delayed Feedback in Episodic Reinforcement Learning. CoRR Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
2021	A*	`conf`	Local Differential Privacy for Regret Minimization in Reinforcement Learning. NeurIPS Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2020	A*	`conf`	A Unifying View of Optimism in Episodic Reinforcement Learning. NeurIPS Gergely Neu, Ciara Pike-Burke
2020	J	`jnl`	A Unifying View of Optimism in Episodic Reinforcement Learning. CoRR Gergely Neu, Ciara Pike-Burke
2020	J	`jnl`	Local Differentially Private Regret Minimization in Reinforcement Learning. CoRR Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
2019	A*	`conf`	Recovering Bandits. NeurIPS Ciara Pike-Burke, Steffen Grünewälder
2019	J	`jnl`	Recovering Bandits. CoRR Ciara Pike-Burke, Steffen Grünewälder
2018	A*	`conf`	Bandits with Delayed, Aggregated Anonymous Feedback. ICML Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
2017	J	`jnl`	Bandits with Delayed Anonymous Feedback. CoRR Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
2017	A	`conf`	Optimistic Planning for the Stochastic Knapsack Problem. AISTATS Ciara Pike-Burke, Steffen Grünewälder