Xuchuang Wang
14 papers · 2022–2026 · 8 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
Jump to papers ↓+4 more ↓ Show less ↑
π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (18) π Conference Polyglot Β· Silver π Grand Slam π Century Club Β· Bronze
ποΈ
Keyword Collector
(54)
π₯
Unstoppable Β· Bronze
β
The Questioner
β‘
Prolific Year Β· Productive
Top co-authors
Research topics
Machine Learning
(12)
Optimization & Theory
(12)
Learning Types
(7)
Artificial Intelligence
(6)
Core AI
(6)
Mathematics & Optimization
(5)
Optimization
(5)
Computer Science
(1)
Interdisciplinary
(1)
Foundations
(1)
Learning Paradigms Β· Artificial Intelligence
(1)
Learning Paradigms Β· Machine Learning
(1)
Science
(1)
Keywords
multi-armed bandit
(9)
regret bound
(8)
multi-agent system
(4)
online learning
(3)
cooperative learning
(3)
best arm identification
(2)
regret minimization
(2)
stochastic bandit
(2)
online algorithm
(1)
adversarial attack
(1)
wireless networking
(1)
preference alignment
(1)
query complexity
(1)
communication complexity
(1)
arm selection
(1)
quantum algorithm
(1)
adversarial corruption
(1)
multi-agent learning
(1)
edge computing
(1)
sample complexity
(1)
Papers
A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
AAAI 2026
Fusing Reward and Dueling Feedback in Stochastic Bandits
ICML 2025
Heterogeneous Multi-Agent Bandits with Parsimonious Hints
AAAI 2025
Multi-agent Stochastic Bandits Robust to Adversarial Corruptions
L4DC 2025
Near-Optimal Regret Bounds for Federated Multi-armed Bandits with Fully Distributed Communication
UAI 2025
Quantum Best Arm Identification with Quantum Oracles
AAAI 2025
Stochastic Bandits Robust to Adversarial Attacks
ICLR 2025
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
ICML 2024
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
ICLR 2023
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
UAI 2023
Multi-Fidelity Multi-Armed Bandits Revisited
NeurIPS 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