← Authors

Ciara Pike-Burke

18 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

πŸƒ Academic Marathon (8) πŸ—ΊοΈ Taxonomy Completionist (11) 🐝 Cross-Pollinator (11) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge 🌍 Conference Polyglot (6) πŸ—ƒοΈ Keyword Collector (50) πŸ’Ž Century Club (18) πŸ”₯ Unstoppable (5) ⚑ Prolific Year (7)

Conferences

AISTATS (6) NIPS (5) ICML (4) ALT (1) ICLR (1) JMLR (1)

Top co-authors

Benjamin Howson (3) Steffen GrΓΌnewΓ€lder (3) Joseph Lazzaro (2) Sarah Filippi (2) Arnaud Robert (2) Emmeran Johnson (2) Patrick Rebeschini (2) Marcello Restelli (1) Gianluca Drappo (1) Sarah Lucie Filippi (1)

Keywords

regret bound (7) multi-armed bandit (5) delayed feedback (4) stochastic optimization (4) markov decision process (3) optimistic algorithm (3) online learning (2) sample complexity (2) optimistic planning (2) episodic reinforcement learning (2) dynamic programming (1) discount factor (1) gaussian process (1) model-based reinforcement learning (1) policy learning (1) regret minimization (1) concentration inequality (1) sequential decision making (1) temporal abstraction (1) surrogate loss (1)

Papers

Fixed-Confidence Multiple Change Point Identification under Bandit Feedback ICML 2025
QuACK: A Multipurpose Queuing Algorithm for Cooperative $k$-Armed Bandits AISTATS 2025
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning AISTATS 2025
Fixed-Budget Change Point Identification in Piecewise Constant Bandits AISTATS 2025
When and why randomised exploration works (in linear bandits) ALT 2025
Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity ICLR 2024
Bandit problems with fidelity rewards JMLR 2023
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning NIPS 2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes NIPS 2023
Optimism and Delays in Episodic Reinforcement Learning AISTATS 2023
Delayed Feedback in Generalised Linear Bandits Revisited AISTATS 2023
Delayed Feedback in Kernel Bandits ICML 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts ICML 2023
Local Differential Privacy for Regret Minimization in Reinforcement Learning NIPS 2021
A Unifying View of Optimism in Episodic Reinforcement Learning NIPS 2020
Recovering Bandits NIPS 2019
Bandits with Delayed, Aggregated Anonymous Feedback ICML 2018
Optimistic Planning for the Stochastic Knapsack Problem AISTATS 2017