Chengshuai Shi
15 papers · 2020–2025 · 7 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (30) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(14)
π
Grand Slam
π
Keyword Champion
(2)
π₯
Unstoppable Β· Bronze
ποΈ
Keyword Collector
(66)
π
Century Club Β· Bronze
Top co-authors
Research topics
Artificial Intelligence
(11)
Machine Learning
(11)
Core AI
(9)
Learning Types Β· Machine Learning
(8)
Optimization & Theory
(6)
Learning Paradigms
(5)
Mathematics & Optimization
(4)
Reinforcement Learning
(4)
Methods
(4)
Optimization
(4)
Natural Language Processing
(3)
Resources & Methods
(3)
Deep Learning
(1)
Learning Types Β· Deep Learning
(1)
Mathematics
(1)
Keywords
multi-armed bandit
(6)
in-context learning
(4)
regret bound
(4)
upper confidence bound
(3)
offline reinforcement learning
(3)
markov game
(3)
multi-player multi-armed bandit
(2)
regret minimization
(2)
zero-sum game
(2)
markov decision process
(2)
best arm identification
(2)
federated learning
(2)
decentralized learning
(2)
posterior sampling
(1)
policy learning
(1)
label propagation
(1)
minimax optimality
(1)
sample complexity
(1)
online learning
(1)
multi-agent reinforcement learning
(1)
Papers
Augmenting Online RL with Offline Data is All You Need: A Unified Hybrid RL Algorithm Design and Analysis
UAI 2025
Building Math Agents with Multi-Turn Iterative Preference Learning
ICLR 2025
Cost-Aware Optimal Pairwise Pure Exploration
AISTATS 2025
From Cross-Task Examples to In-Task Prompts: A Graph-Based Pseudo-Labeling Framework for In-context Learning
EMNLP 2025
Efficient Prompt Optimization Through the Lens of Best Arm Identification
NeurIPS 2024
Mixture of Demonstrations for In-Context Learning
NeurIPS 2024
Transformers as Game Players: Provable In-context Game-playing Capabilities of Pre-trained Models
NeurIPS 2024
Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game
ICLR 2023
Provably Efficient Offline Reinforcement Learning with Perturbed Data Sources
ICML 2023
A Self-Play Posterior Sampling Algorithm for Zero-Sum Markov Games
ICML 2022
(Almost) Free Incentivized Exploration from Decentralized Learning Agents
NeurIPS 2021
Federated Multi-Armed Bandits
AAAI 2021
Federated Multi-armed Bandits with Personalization
AISTATS 2021
Heterogeneous Multi-player Multi-armed Bandits: Closing the Gap and Generalization
NeurIPS 2021
Decentralized Multi-player Multi-armed Bandits with No Collision Information
AISTATS 2020