Ciara Pike-Burke
18 papers · 2017–2025 · 6 venues · across top CS/AI venues
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Achievements
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🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28) 🌍 Conference Polyglot · Silver 🐣 Hot Topic Early Bird 🏃 Academic Marathon · Sprint
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Prolific Year · Productive
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Unstoppable · Bronze
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Century Club · Bronze
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Keyword Collector
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Research topics
Machine Learning
(18)
Optimization & Theory
(16)
Artificial Intelligence
(9)
Mathematics & Optimization
(9)
Learning Types
(9)
Optimization
(9)
Core AI
(8)
Reinforcement Learning
(4)
Methods
(4)
Bayesian & Probabilistic · Machine Learning
(2)
Core Methods
(2)
Learning Paradigms
(2)
Mathematics
(2)
Application Areas
(1)
Bayesian & Probabilistic · Artificial Intelligence
(1)
Keywords
regret bound
(9)
multi-armed bandit
(7)
stochastic optimization
(4)
delayed feedback
(4)
markov decision process
(3)
optimistic algorithm
(3)
sequential decision making
(2)
online learning
(2)
reinforcement learning
(2)
local differential privacy
(2)
hierarchical reinforcement learning
(2)
episodic reinforcement learning
(2)
sample complexity
(2)
bandit feedback
(2)
optimistic planning
(2)
discount factor
(1)
gaussian process
(1)
regret minimization
(1)
online classification
(1)
strongly convex
(1)
Papers
Efficient Exploitation of Hierarchical Structure in Sparse Reward Reinforcement Learning
AISTATS 2025
Fixed-Budget Change Point Identification in Piecewise Constant Bandits
AISTATS 2025
Fixed-Confidence Multiple Change Point Identification under Bandit Feedback
ICML 2025
QuACK: A Multipurpose Queuing Algorithm for Cooperative k-Armed 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
Delayed Feedback in Generalised Linear Bandits Revisited
AISTATS 2023
Delayed Feedback in Kernel Bandits
ICML 2023
Optimal Convergence Rate for Exact Policy Mirror Descent in Discounted Markov Decision Processes
NeurIPS 2023
Optimism and Delays in Episodic Reinforcement Learning
AISTATS 2023
Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning
NeurIPS 2023
Trading-Off Payments and Accuracy in Online Classification with Paid Stochastic Experts
ICML 2023
Local Differential Privacy for Regret Minimization in Reinforcement Learning
NeurIPS 2021
A Unifying View of Optimism in Episodic Reinforcement Learning
NeurIPS 2020
Recovering Bandits
NeurIPS 2019
Bandits with Delayed, Aggregated Anonymous Feedback
ICML 2018
Optimistic Planning for the Stochastic Knapsack Problem
AISTATS 2017