Ciara Pike-Burke
18 papers · 2017–2025 · 6 conferences · across top CS/AI conferences
Achievements
Jump to papers ↓+6 more ↓ Show less ↑
๐ Interdisciplinary Bridge ๐บ๏ธ Taxonomy Completionist (11) ๐งญ Keyword Pioneer ๐ฃ Hot Topic Early Bird ๐ Conference Polyglot (6)
๐
Interdisciplinary Bridge
๐
Conference Polyglot
(6)
๐๏ธ
Keyword Collector
(50)
๐
Century Club
(18)
๐ฅ
Unstoppable
(5)
โก
Prolific Year
(7)
Conferences
AISTATS (6)
NIPS (5)
ICML (4)
ALT (1)
ICLR (1)
JMLR (1)
Top co-authors
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