John C. S. Lui
14 papers · 2018–2024 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (20) π Academic Marathon Β· Sprint π Keyword Champion
ποΈ
Keyword Collector
(60)
π₯
Unstoppable Β· Bronze
π
Conference Pioneer
π
Renaissance Researcher
(5)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(13)
Optimization & Theory
(11)
Mathematics & Optimization
(8)
Optimization
(8)
Learning Types
(7)
Artificial Intelligence
(4)
Data Science & Analytics
(4)
Applications
(3)
Core AI
(2)
Learning Paradigms Β· Artificial Intelligence
(2)
Computer Science
(1)
Reinforcement Learning
(1)
Application Areas
(1)
Learning Paradigms Β· Machine Learning
(1)
Methods
(1)
Keywords
regret bound
(10)
multi-armed bandit
(7)
online learning
(5)
federated learning
(3)
asynchronous agent
(2)
combinatorial optimization
(2)
cooperative learning
(2)
conversational bandit
(2)
contextual bandit
(2)
budget allocation
(2)
sample complexity
(1)
markov chain
(1)
influence maximization
(1)
exploration exploitation
(1)
model evaluation
(1)
random walk
(1)
wireless networking
(1)
approximation algorithm
(1)
greedy algorithm
(1)
privacy preservation
(1)
Papers
FedConPE: Efficient Federated Conversational Bandits with Heterogeneous Clients
IJCAI 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
A Survey of Federated Evaluation in Federated Learning
IJCAI 2023
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits
AAAI 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
AISTATS 2023
Multi-Player Multi-Armed Bandits with Finite Shareable Resources Arms: Learning Algorithms & Applications
IJCAI 2022
Multiple-Play Stochastic Bandits with Shareable Finite-Capacity Arms
ICML 2022
Online Competitive Influence Maximization
AISTATS 2022
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
NeurIPS 2021
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
ICML 2021
Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm
NeurIPS 2020
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
NeurIPS 2020
Optimizing Discount and Reputation Trade-Offs in E-Commerce Systems: Characterization and Online Learning
AAAI 2019
Community Exploration: From Offline Optimization to Online Learning
NeurIPS 2018