Xutong Liu
18 papers · 2021–2026 · 6 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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πΊοΈ Taxonomy Completionist (27) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π Grand Slam
π
Grand Slam
π
Triple Crown
ποΈ
Keyword Collector
(82)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
π
Renaissance Researcher
(7)
π
Century Club Β· Bronze
Top co-authors
Research topics
Machine Learning
(16)
Optimization & Theory
(13)
Artificial Intelligence
(9)
Mathematics & Optimization
(8)
Optimization
(8)
Learning Types
(7)
Core AI
(6)
Learning Paradigms Β· Artificial Intelligence
(4)
Data Science & Analytics
(2)
Applications
(2)
Learning Paradigms Β· Machine Learning
(2)
Computer Science
(1)
Interdisciplinary
(1)
Natural Language Processing
(1)
Reinforcement Learning
(1)
Keywords
regret bound
(10)
contextual bandit
(6)
multi-armed bandit
(6)
online learning
(4)
combinatorial optimization
(3)
federated learning
(3)
combinatorial multi-armed bandit
(3)
cooperative learning
(2)
collaborative filtering
(1)
hessian approximation
(1)
online clustering
(1)
offline learning
(1)
influence maximization
(1)
adversarial attack
(1)
random walk
(1)
regret minimization
(1)
approximation algorithm
(1)
online algorithm
(1)
gradient estimation
(1)
communication complexity
(1)
Papers
FedSteer: Taming Extreme Gradient Staleness in Federated Learning with Corrective Projections and Caching
UAI 2026
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
AAAI 2026
Fusing Reward and Dueling Feedback in Stochastic Bandits
ICML 2025
Offline Learning for Combinatorial Multi-armed Bandits
ICML 2025
Stochastic Bandits Robust to Adversarial Attacks
ICLR 2025
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
ICML 2024
Federated Contextual Cascading Bandits with Asynchronous Communication and Heterogeneous Users
AAAI 2024
Quantum Algorithm for Online Exp-concave Optimization
ICML 2024
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
ICLR 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
ICML 2023
Efficient Explorative Key-Term Selection Strategies for Conversational Contextual Bandits
AAAI 2023
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
UAI 2023
On-Demand Communication for Asynchronous Multi-Agent Bandits
AISTATS 2023
Online Clustering of Bandits with Misspecified User Models
NeurIPS 2023
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
NeurIPS 2022
Federated online clustering of bandits
UAI 2022
Online Competitive Influence Maximization
AISTATS 2022
Multi-layered Network Exploration via Random Walks: From Offline Optimization to Online Learning
ICML 2021