Dan Qiao
16 papers · 2022–2026 · 7 venues · across top CS/AI venues
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Achievements
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π£ Hot Topic Early Bird πΊοΈ Taxonomy Completionist (42) π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π€ Dynamic Duo (10)
π€
Dynamic Duo
(10)
π
Renaissance Researcher
(6)
π₯
Unstoppable Β· Bronze
β
The Questioner
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Prolific Year Β· Productive
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Century Club Β· Bronze
ποΈ
Keyword Collector
(94)
Top co-authors
Research topics
Machine Learning
(12)
Reinforcement Learning
(7)
Learning Types Β· Machine Learning
(7)
Methods
(7)
Artificial Intelligence
(6)
Deep Learning
(5)
Application Areas
(5)
Core AI
(5)
Natural Language Processing
(4)
Optimization & Theory
(4)
Applications Β· Natural Language Processing
(3)
Learning Types Β· Deep Learning
(3)
Mathematics & Optimization
(2)
Security & Privacy
(2)
Applications Β· Reinforcement Learning
(2)
Keywords
regret bound
(4)
differential privacy
(4)
markov decision process
(3)
online learning
(2)
multi-agent reinforcement learning
(2)
reinforcement learning
(2)
markov game
(2)
sample complexity
(2)
label noise
(2)
joint differential privacy
(2)
pre-trained language model
(2)
natural language processing
(1)
game theory
(1)
text classification
(1)
contrastive learning
(1)
offline reinforcement learning
(1)
text generation
(1)
episodic learning
(1)
chain-of-thought reasoning
(1)
data augmentation
(1)
Papers
Suggest-Verify-Revise: A Three-Stage Document-Level Event Causality Identification with Narrative Consistency
ACL 2026
When Is Thinking Enough? Early Exit via Sufficiency Assessment for Efficient Reasoning
ACL 2026
Decoder-Only LLMs can be Masked Auto-Encoders
ACL 2025
Multi-Agent Credit Assignment with Pretrained Language Models
AISTATS 2025
Rates for Offline Reinforcement Learning with Adaptively Collected Data
L4DC 2025
Differentially Private Reinforcement Learning with Self-Play
NeurIPS 2024
Near-Optimal Reinforcement Learning with Self-Play under Adaptivity Constraints
ICML 2024
Stable Minima Cannot Overfit in Univariate ReLU Networks: Generalization by Large Step Sizes
NeurIPS 2024
Doubly Fair Dynamic Pricing
AISTATS 2023
Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
ICLR 2023
Near-Optimal Differentially Private Reinforcement Learning
AISTATS 2023
Offline Reinforcement Learning with Differential Privacy
NeurIPS 2023
Towards Better Hierarchical Text Classification with Data Generation
ACL 2023
Differentially Private Linear Sketches: Efficient Implementations and Applications
NeurIPS 2022
Sample-Efficient Reinforcement Learning with loglog(T) Switching Cost
ICML 2022
SelfMix: Robust Learning against Textual Label Noise with Self-Mixup Training
COLING 2022