Zhihan Xiong
10 papers · 2020–2026 · 6 venues · across top CS/AI venues
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Achievements
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π Interdisciplinary Bridge Β· Silver πΊοΈ Taxonomy Completionist (28) π Academic Marathon Β· Sprint π£ Hot Topic Early Bird π Conference Polyglot Β· Silver
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Grand Slam
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Renaissance Researcher
(5)
π₯
Unstoppable Β· Bronze
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Century Club Β· Bronze
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Keyword Collector
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Research topics
Machine Learning
(9)
Learning Types
(7)
Optimization & Theory
(7)
Artificial Intelligence
(5)
Core AI
(5)
Mathematics & Optimization
(4)
Reinforcement Learning
(4)
Methods
(4)
Optimization
(4)
Data Science & Analytics
(1)
Deep Learning
(1)
Natural Language Processing
(1)
Applications
(1)
Architectures
(1)
Core Methods
(1)
Keywords
regret bound
(3)
nash equilibrium
(3)
best arm identification
(3)
value function
(2)
bandit feedback
(2)
reinforcement learning
(2)
linear bandit
(2)
congestion game
(2)
online learning
(2)
label complexity
(1)
markov decision process
(1)
offline reinforcement learning
(1)
multi-agent reinforcement learning
(1)
minimax optimality
(1)
sample complexity
(1)
stochastic gradient descent
(1)
temporal difference
(1)
uncertainty quantification
(1)
optimal design
(1)
selective sampling
(1)
Papers
On The Complexity of Best-Arm Identification in Non-Stationary Linear Bandits
COLT 2026
Towards Acyclic Preference Evaluation of Language Models via Multiple Evaluators
AAAI 2026
A Black-box Approach for Non-stationary Multi-agent Reinforcement Learning
ICLR 2024
A/B Testing and Best-arm Identification for Linear Bandits with Robustness to Non-stationarity
AISTATS 2024
Offline Congestion Games: How Feedback Type Affects Data Coverage Requirement
ICLR 2023
Fourier Learning with Cyclical Data
ICML 2022
Learning in Congestion Games with Bandit Feedback
NeurIPS 2022
Near-Optimal Randomized Exploration for Tabular Markov Decision Processes
NeurIPS 2022
Selective Sampling for Online Best-arm Identification
NeurIPS 2021
Parameterized Indexed Value Function for Efficient Exploration in Reinforcement Learning
AAAI 2020