John C.S. Lui
38 papers · 2018–2026 · 8 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (7) 🏃 Academic Marathon (7) 🧭 Keyword Pioneer 🌉 Interdisciplinary Bridge 🐣 Hot Topic Early Bird
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🤝
Dynamic Duo
(11)
👑
Triple Crown
🏆
Grand Slam
🧬
Topic Evolution
💎
Century Club
(35)
🚀
Conference Pioneer
⚡
Prolific Year
(8)
🗃️
Keyword Collector
(103)
❓
The Questioner
🔥
Unstoppable
(8)
Conferences
NIPS (12)
ICML (9)
AAAI (6)
ICLR (5)
IJCAI (2)
UAI (2)
ACL (1)
AISTATS (1)
Top co-authors
Keywords
multi-armed bandit
(10)
regret bound
(10)
online learning
(7)
contextual bandit
(4)
regret minimization
(3)
nonlinear equation
(2)
stochastic optimization
(2)
product quality
(2)
quantum algorithm
(2)
greedy algorithm
(2)
superlinear convergence
(2)
large language model
(2)
markov chain
(2)
best arm identification
(2)
online algorithm
(2)
query complexity
(2)
cooperative learning
(2)
constrained optimization
(1)
numerical optimization
(1)
global convergence
(1)
Papers
Online Multi-LLM Selection via Contextual Bandits Under Unstructured Context Evolution
AAAI 2026
Large Language Model-Enhanced Multi-Armed Bandits
ACL 2026
A Multi-Agent Conversational Bandit Approach to Online Evaluation and Selection of User-Aligned LLM Responses
AAAI 2026
Stochastic Bandits Robust to Adversarial Attacks
ICLR 2025
An Enhanced Levenberg--Marquardt Method via Gram Reduction
AAAI 2025
Quantum Best Arm Identification with Quantum Oracles
AAAI 2025
Variance-Dependent Regret Bounds for Nonstationary Linear Bandits
AISTATS 2025
Model-based RL as a Minimalist Approach to Horizon-Free and Second-Order Bounds
ICLR 2025
Demystifying Online Clustering of Bandits: Enhanced Exploration Under Stochastic and Smoothed Adversarial Contexts
ICLR 2025
Bandit Learning in Matching Markets with Indifference
ICLR 2025
Offline Learning for Combinatorial Multi-armed Bandits
ICML 2025
Quantum Algorithms for Finite-horizon Markov Decision Processes
ICML 2025
Online Clustering of Dueling Bandits
ICML 2025
Federated In-Context Learning: Iterative Refinement for Improved Answer Quality
ICML 2025
Provable Zero-Shot Generalization in Offline Reinforcement Learning
ICML 2025
Fusing Reward and Dueling Feedback in Stochastic Bandits
ICML 2025
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
ICML 2024
Quantum Algorithm for Online Exp-concave Optimization
ICML 2024
Quantum Algorithms for Non-smooth Non-convex Optimization
NIPS 2024
D-LLM: A Token Adaptive Computing Resource Allocation Strategy for Large Language Models
NIPS 2024
Exploration for Free: How Does Reward Heterogeneity Improve Regret in Cooperative Multi-agent Bandits?
UAI 2023
Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
ICLR 2023
Contextual Combinatorial Bandits with Probabilistically Triggered Arms
ICML 2023
Online Clustering of Bandits with Misspecified User Models
NIPS 2023
Multi-Fidelity Multi-Armed Bandits Revisited
NIPS 2023
Online Corrupted User Detection and Regret Minimization
NIPS 2023
Block Broyden's Methods for Solving Nonlinear Equations
NIPS 2023
Uncertainty-Aware Instance Reweighting for Off-Policy Learning
NIPS 2023
Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
NIPS 2022
Federated online clustering of bandits
UAI 2022
Cooperative Stochastic Bandits with Asynchronous Agents and Constrained Feedback
NIPS 2021
Restless-UCB, an Efficient and Low-complexity Algorithm for Online Restless Bandits
NIPS 2020
Adversarial Bandits with Corruptions: Regret Lower Bound and No-regret Algorithm
NIPS 2020
Understanding Persuasion Cascades in Online Product Rating Systems
AAAI 2019
Submodular Optimization over Streams with Inhomogeneous Decays
AAAI 2019
Modeling the Assimilation-Contrast Effects in Online Product Rating Systems: Debiasing and Recommendations
IJCAI 2018
Beyond the Click-Through Rate: Web Link Selection with Multi-level Feedback
IJCAI 2018
Community Exploration: From Offline Optimization to Online Learning
NIPS 2018