Juncheng Dong
9 papers · 2022–2025 · 5 venues · across top CS/AI venues
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Achievements
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Conference Polyglot · Silver
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Interdisciplinary Bridge · Bronze
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Taxonomy Completionist
(19)
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Research topics
Artificial Intelligence
(5)
Machine Learning
(5)
Core AI
(4)
Learning Types
(3)
Reinforcement Learning
(2)
Learning Paradigms
(2)
Methods
(2)
Deep Learning
(1)
Knowledge & Reasoning
(1)
Mathematics & Optimization
(1)
Architectures
(1)
Core Methods
(1)
Models
(1)
Optimization
(1)
Optimization & Theory
(1)
Keywords
regret bound
(2)
conditional average treatment effect
(2)
reinforcement learning
(1)
few-shot learning
(1)
autoregressive transformer
(1)
transfer learning
(1)
bipartite matching
(1)
phase retrieval
(1)
adversarial training
(1)
fisher information
(1)
value function
(1)
assortment optimization
(1)
local regression
(1)
offline learning
(1)
variational optimization
(1)
data augmentation
(1)
human feedback
(1)
off-policy evaluation
(1)
state transition
(1)
contrastive learning
(1)
Papers
CATE Estimation With Potential Outcome Imputation From Local Regression
UAI 2025
Conditional Average Treatment Effect Estimation Under Hidden Confounders
UAI 2025
In-Context Reinforcement Learning From Suboptimal Historical Data
ICML 2025
Variational Adversarial Training Towards Policies with Improved Robustness
AISTATS 2025
Off-Policy Evaluation for Human Feedback
NeurIPS 2023
PASTA: Pessimistic Assortment Optimization
ICML 2023
Transfer learning for individual treatment effect estimation
UAI 2023
Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions
ICLR 2022
Task Affinity with Maximum Bipartite Matching in Few-Shot Learning
ICLR 2022