Shikai Luo - RankMe

23 papers A* 2A 3Journal 18

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	Deep Distributional Learning with Non-crossing Quantile Network. CoRR Guohao Shen, Runpeng Dai, Guojun Wu, Shikai Luo, Chengchun Shi, Hongtu Zhu
2025	J	`jnl`	Doubly Robust Uncertainty Quantification for Quantile Treatment Effects in Sequential Decision Making. Trans. Mach. Learn. Res. Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
2024	J	`jnl`	Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences. CoRR Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu
2024	J	`jnl`	Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets. ACM Trans. Spatial Algorithms Syst. Shixiang Wan, Shikai Luo, Hongtu Zhu
2024	J	`jnl`	Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data. CoRR Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun
2024	A	`conf`	Robust Offline Reinforcement Learning with Heavy-Tailed Rewards. AISTATS Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2023	A*	`conf`	An Instrumental Variable Approach to Confounded Off-Policy Evaluation. ICML Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
2023	A	`conf`	Conformal Off-Policy Prediction. AISTATS Yingying Zhang, Chengchun Shi, Shikai Luo
2023	A*	`conf`	DNet: Distributional Network for Distributional Individualized Treatment Effects. KDD Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu
2023	J	`jnl`	Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards. CoRR Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi
2022	J	`jnl`	A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets. CoRR Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu
2022	J	`jnl`	An Instrumental Variable Approach to Confounded Off-Policy Evaluation. CoRR Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song
2022	J	`jnl`	Conformal Off-Policy Prediction. CoRR Yingying Zhang, Chengchun Shi, Shikai Luo
2022	J	`jnl`	Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process. CoRR Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song
2022	J	`jnl`	Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms. CoRR Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu
2022	J	`jnl`	Quantile Off-Policy Evaluation via Deep Conditional Generative Learning. CoRR Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song
2022	J	`jnl`	Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons. CoRR Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2021	J	`jnl`	An Online Sequential Test for Qualitative Treatment Effects. J. Mach. Learn. Res. Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song
2021	J	`jnl`	Pattern Transfer Learning for Reinforcement Learning in Order Dispatching. CoRR Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song
2020	A	`conf`	A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction. CIKM Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu
2020	J	`jnl`	A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing. CoRR Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye
2015	J	`jnl`	Quantitative tract-based white matter heritability in twin neonates. NeuroImage Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore
2014	J	`jnl`	Sure Screening for Gaussian Graphical Models. CoRR Shikai Luo, Rui Song, Daniela M. Witten