Yichun Hu

22 papers A* 6B 1C 1Journal 14
YearRankTypeTitle / Venue / Authors
2026 J jnl
Ask, Clarify, Optimize: Human-LLM Agent Collaboration for Smarter Inventory Control.
CoRR
Yaqi Duan, Yichun Hu, Jiashuo Jiang
2025 A* conf
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.
ICML
Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Lingyu Duan
2025 J jnl
Beyond Entropy: Region Confidence Proxy for Wild Test-Time Adaptation.
CoRR
Zixuan Hu, Yichun Hu, Xiaotong Li, Shixiang Tang, Ling-Yu Duan
2025 J jnl
Fast Rates for the Regret of Offline Reinforcement Learning.
Math. Oper. Res.
Yichun Hu, Nathan Kallus, Masatoshi Uehara
2025 J jnl
LEAD: Exploring Logit Space Evolution for Model Selection.
CoRR
Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan
2025 A* conf
Learning Fair And Effective Points-Based Rewards Programs.
EC
Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke
2025 J jnl
Learning Fair And Effective Points-Based Rewards Programs.
CoRR
Chamsi Hssaine, Yichun Hu, Ciara Pike-Burke
2025 J jnl
SEVA: Leveraging Single-Step Ensemble of Vicinal Augmentations for Test-Time Adaptation.
CoRR
Zixuan Hu, Yichun Hu, Ling-Yu Duan
2024 A* conf
Contextual Linear Optimization with Bandit Feedback.
NeurIPS
Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu
2024 J jnl
Contextual Linear Optimization with Bandit Feedback.
CoRR
Yichun Hu, Nathan Kallus, Xiaojie Mao, Yanchen Wu
2024 A* conf
LEAD: Exploring Logit Space Evolution for Model Selection.
CVPR
Zixuan Hu, Xiaotong Li, Shixiang Tang, Jun Liu, Yichun Hu, Ling-Yu Duan
2023 B conf
AutoDes: Few-Shot Named Entity Recognition with Class Descriptions.
IJCNN
Ting Lu, Yichun Hu, Guohua Liu, Qiubo Huang, Wenjing Guo, Shan Chang
2023 J jnl
Practical Policy Optimization with Personalized Experimentation.
CoRR
Mia Garrard, Hanson Wang, Ben Letham, Shaun Singh, Abbas Kazerouni, Sarah Tan, Zehui Wang, Yin Huang, Yichun Hu, Chad Zhou, Norm Zhou, Eytan Bakshy
2022 J jnl
Fast Rates for Contextual Linear Optimization.
Manag. Sci.
Yichun Hu, Nathan Kallus, Xiaojie Mao
2022 J jnl
Smooth Contextual Bandits: Bridging the Parametric and Nondifferentiable Regret Regimes.
Oper. Res.
Yichun Hu, Nathan Kallus, Xiaojie Mao
2021 A* conf
Fast Rates for the Regret of Offline Reinforcement Learning.
COLT
Yichun Hu, Nathan Kallus, Masatoshi Uehara
2021 J jnl
Fast Rates for the Regret of Offline Reinforcement Learning.
CoRR
Yichun Hu, Nathan Kallus, Masatoshi Uehara
2020 J jnl
DTR Bandit: Learning to Make Response-Adaptive Decisions With Low Regret.
CoRR
Yichun Hu, Nathan Kallus
2020 J jnl
Fast Rates for Contextual Linear Optimization.
CoRR
Yichun Hu, Nathan Kallus, Xiaojie Mao
2020 A* conf
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes.
COLT
Yichun Hu, Nathan Kallus, Xiaojie Mao
2019 J jnl
Smooth Contextual Bandits: Bridging the Parametric and Non-differentiable Regret Regimes.
CoRR
Yichun Hu, Nathan Kallus, Xiaojie Mao
2019 C conf
Urban Green Space Accessibility Evaluation Using Age-Based 2-Step Floating Catchment Area Method.
IGARSS
Jingyuan Qiu, Yuqi Bai, Yichun Hu, Tianhao Wang, Pei Zhang, Chengzhong Xu