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2020 – today
- 2024
[j3]Shixiang Wan, Shikai Luo, Hongtu Zhu:
Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets. ACM Trans. Spatial Algorithms Syst. 10(3): 28:1-28:18 (2024)- [c5]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS 2024: 541-549 - [i13]Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun:
Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data. CoRR abs/2403.11841 (2024) - [i12]Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu:
Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences. CoRR abs/2407.17910 (2024) - 2023
- [c4]Yingying Zhang, Chengchun Shi, Shikai Luo:
Conformal Off-Policy Prediction. AISTATS 2023: 2751-2768 - [c3]Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song:
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. ICML 2023: 38848-38880 - [c2]Guojun Wu
, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu:
DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD 2023: 5215-5224 - [i11]Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi:
Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR abs/2310.18715 (2023) - 2022
- [i10]Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu:
A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR abs/2202.10574 (2022) - [i9]Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song:
Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR abs/2202.10589 (2022) - [i8]Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu:
Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR abs/2202.10887 (2022) - [i7]Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song:
Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR abs/2202.13163 (2022) - [i6]Yingying Zhang, Chengchun Shi, Shikai Luo:
Conformal Off-Policy Prediction. CoRR abs/2206.06711 (2022) - [i5]Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song:
Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. CoRR abs/2212.14466 (2022) - [i4]Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song:
An Instrumental Variable Approach to Confounded Off-Policy Evaluation. CoRR abs/2212.14468 (2022) - 2021
- [j2]Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song:
An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. 22: 286:1-286:51 (2021) - [i3]Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song:
Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR abs/2105.13218 (2021) - 2020
- [c1]Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu:
A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM 2020: 2805-2812 - [i2]Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye:
A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR abs/2002.01711 (2020)
2010 – 2019
- 2015
- [j1]Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore:
Quantitative tract-based white matter heritability in twin neonates. NeuroImage 111: 123-135 (2015) - 2014
- [i1]Shikai Luo, Rui Song, Daniela M. Witten:
Sure Screening for Gaussian Graphical Models. CoRR abs/1407.7819 (2014)
Coauthor Index
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