Yihan Du
15 papers · 2019–2025 · 5 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (31) π Conference Polyglot Β· Silver π Academic Marathon Β· Sprint π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π
Triple Crown
π
Grand Slam
π
Renaissance Researcher
(5)
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Century Club Β· Bronze
ποΈ
Keyword Collector
(72)
π₯
Unstoppable Β· Bronze
Venues
Top co-authors
Research topics
Machine Learning
(12)
Learning Types
(8)
Artificial Intelligence
(7)
Reinforcement Learning
(6)
Core AI
(6)
Optimization & Theory
(6)
Mathematics & Optimization
(5)
Methods
(5)
Optimization
(5)
Core Methods
(4)
Computer Vision
(1)
Data Science & Analytics
(1)
Deep Learning
(1)
Analysis
(1)
Applications
(1)
Keywords
sample complexity
(6)
regret bound
(6)
multi-armed bandit
(5)
combinatorial pure exploration
(3)
regret minimization
(2)
pure exploration
(2)
risk-sensitive reinforcement learning
(2)
combinatorial optimization
(2)
conditional value at risk
(2)
function approximation
(2)
policy optimization
(1)
risk-aware learning
(1)
online decision making
(1)
communication complexity
(1)
online learning
(1)
active learning
(1)
bandit feedback
(1)
graph matching
(1)
sample efficiency
(1)
covariance modeling
(1)
Papers
Reinforcement Learning with Segment Feedback
ICML 2025
Cascading Reinforcement Learning
ICLR 2024
Exploration-Driven Policy Optimization in RLHF: Theoretical Insights on Efficient Data Utilization
ICML 2024
Provably Efficient Iterated CVaR Reinforcement Learning with Function Approximation and Human Feedback
ICLR 2024
Collaborative Pure Exploration in Kernel Bandit
ICLR 2023
Multi-task Representation Learning for Pure Exploration in Linear Bandits
ICML 2023
Provably Efficient Risk-Sensitive Reinforcement Learning: Iterated CVaR and Worst Path
ICLR 2023
Provably Safe Reinforcement Learning with Step-wise Violation Constraints
NeurIPS 2023
Branching Reinforcement Learning
ICML 2022
A One-Size-Fits-All Solution to Conservative Bandit Problems
AAAI 2021
Combinatorial Pure Exploration with Bottleneck Reward Function
NeurIPS 2021
Combinatorial Pure Exploration with Full-Bandit or Partial Linear Feedback
AAAI 2021
Continuous Mean-Covariance Bandits
NeurIPS 2021
Combinatorial Pure Exploration for Dueling Bandit
ICML 2020
Direct Object Recognition Without Line-Of-Sight Using Optical Coherence
CVPR 2019