Juncheng Dong

9 papers · 2022–2025 · 5 conferences · across top CS/AI conferences

Achievements

🧭 Keyword Pioneer 🌍 Conference Polyglot (5) 🐝 Cross-Pollinator (9) 🌉 Interdisciplinary Bridge

Conferences

UAI (3) ICLR (2) ICML (2) AISTATS (1) NIPS (1)

Top co-authors

Vahid Tarokh (9) Ahmed Aloui (3) Miroslav Pajic (2) Ethan X Fang (2) Cat Phuoc Le (2) Mohammadreza Soltani (2) Qitong Gao (2) Simiao Ren (1) Omar Khatib (1) Cat P Le (1)

Keywords

causal inference (1) off-policy evaluation (1) transfer learning (1) assortment optimization (1) offline learning (1) human feedback (1) regret bound (1) state transition (1) latent space (1) counterfactual inference (1) heterogeneous treatment effect (1) individual treatment effect (1) multinomial logit model (1) pessimistic algorithm (1) customer choice (1) reward reconstruction (1)

Papers

Variational Adversarial Training Towards Policies with Improved Robustness AISTATS 2025

In-Context Reinforcement Learning From Suboptimal Historical Data ICML 2025

Conditional Average Treatment Effect Estimation Under Hidden Confounders UAI 2025

CATE Estimation With Potential Outcome Imputation From Local Regression UAI 2025

PASTA: Pessimistic Assortment Optimization ICML 2023

Off-Policy Evaluation for Human Feedback NIPS 2023

Transfer learning for individual treatment effect estimation UAI 2023

Task Affinity with Maximum Bipartite Matching in Few-Shot Learning ICLR 2022

Blaschke Product Neural Networks (BPNN): A Physics-Infused Neural Network for Phase Retrieval of Meromorphic Functions ICLR 2022