Ciara Pike-Burke

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 24

Top Topics

Knapsack Problem

Markov Decision Process

Sample Complexity

Reinforcement Learning

Top Venues

Publications

Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity. ICLR (2024)
Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. ICML (2023)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Optimism and Delays in Episodic Reinforcement Learning. AISTATS (2023)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Generalised Linear Bandits Revisited. AISTATS (2023)
Arnaud Robert, Ciara Pike-Burke, Aldo A. Faisal
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning. NeurIPS (2023)
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes. NeurIPS (2023)
Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
Delayed Feedback in Kernel Bandits. ICML (2023)
Dirk van der Hoeven, Ciara Pike-Burke, Hao Qiu, Nicolò Cesa-Bianchi
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts. CoRR (2023)
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity. CoRR (2023)
Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes. CoRR (2023)
Sattar Vakili, Danyal Ahmed, Alberto Bernacchia, Ciara Pike-Burke
Delayed Feedback in Kernel Bandits. CoRR (2023)
Michele Monaci, Ciara Pike-Burke, Alberto Santini
Exact algorithms for the 0-1 Time-Bomb Knapsack Problem. Comput. Oper. Res. 145 (2022)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Generalised Linear Bandits Revisited. CoRR (2022)
Benjamin Howson, Ciara Pike-Burke, Sarah Filippi
Delayed Feedback in Episodic Reinforcement Learning. CoRR (2021)
Gábor Lugosi, Ciara Pike-Burke, Pierre-André Savalle
Bandit problems with fidelity rewards. CoRR (2021)
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
Local Differential Privacy for Regret Minimization in Reinforcement Learning. NeurIPS (2021)
Evrard Garcelon, Vianney Perchet, Ciara Pike-Burke, Matteo Pirotta
Local Differentially Private Regret Minimization in Reinforcement Learning. CoRR (2020)
Gergely Neu, Ciara Pike-Burke
A Unifying View of Optimism in Episodic Reinforcement Learning. CoRR (2020)
Gergely Neu, Ciara Pike-Burke
A Unifying View of Optimism in Episodic Reinforcement Learning. NeurIPS (2020)
Ciara Pike-Burke, Steffen Grünewälder
Recovering Bandits. NeurIPS (2019)
Ciara Pike-Burke, Steffen Grünewälder
Recovering Bandits. CoRR (2019)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed, Aggregated Anonymous Feedback. ICML (2018)
Ciara Pike-Burke, Shipra Agrawal, Csaba Szepesvári, Steffen Grünewälder
Bandits with Delayed Anonymous Feedback. CoRR (2017)
Ciara Pike-Burke, Steffen Grünewälder
Optimistic Planning for the Stochastic Knapsack Problem. AISTATS (2017)