Shikai Luo

According to our database, Shikai Luo authored at least 19 papers between 2014 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Causal Probabilistic Spatio-Temporal Fusion Transformers in Two-Sided Ride-Hailing Markets.

Shixiang Wan, Shikai Luo, Hongtu Zhu

ACM Trans. Spatial Algorithms Syst., September, 2024

Causal Deepsets for Off-policy Evaluation under Spatial or Spatio-temporal Interferences.

Runpeng Dai, Jianing Wang, Fan Zhou, Shikai Luo, Zhiwei Qin, Chengchun Shi, Hongtu Zhu

CoRR, 2024

Pessimistic Causal Reinforcement Learning with Mediators for Confounded Offline Data.

Danyang Wang, Chengchun Shi, Shikai Luo, Will Wei Sun

CoRR, 2024

Robust Offline Reinforcement Learning with Heavy-Tailed Rewards.

Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2024

2023

Robust Offline Policy Evaluation and Optimization with Heavy-Tailed Rewards.

Jin Zhu, Runzhe Wan, Zhengling Qi, Shikai Luo, Chengchun Shi

CoRR, 2023

DNet: Distributional Network for Distributional Individualized Treatment Effects.

Guojun Wu, Ge Song, Xiaoxiang Lv, Shikai Luo, Chengchun Shi, Hongtu Zhu

Proceedings of the 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, 2023

An Instrumental Variable Approach to Confounded Off-Policy Evaluation.

Yang Xu, Jin Zhu, Chengchun Shi, Shikai Luo, Rui Song

Proceedings of the International Conference on Machine Learning, 2023

Conformal Off-Policy Prediction.

Yingying Zhang, Chengchun Shi, Shikai Luo

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

2022

Quantile Off-Policy Evaluation via Deep Conditional Generative Learning.

Yang Xu, Chengchun Shi, Shikai Luo, Lan Wang, Rui Song

CoRR, 2022

Statistically Efficient Advantage Learning for Offline Reinforcement Learning in Infinite Horizons.

Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song

CoRR, 2022

Policy Evaluation for Temporal and/or Spatial Dependent Experiments in Ride-sourcing Platforms.

Shikai Luo, Ying Yang, Chengchun Shi, Fang Yao, Jieping Ye, Hongtu Zhu

CoRR, 2022

Off-Policy Confidence Interval Estimation with Confounded Markov Decision Process.

Chengchun Shi, Jin Zhu, Ye Shen, Shikai Luo, Hongtu Zhu, Rui Song

CoRR, 2022

A Multi-Agent Reinforcement Learning Framework for Off-Policy Evaluation in Two-sided Markets.

Chengchun Shi, Runzhe Wan, Ge Song, Shikai Luo, Rui Song, Hongtu Zhu

CoRR, 2022

2021

An Online Sequential Test for Qualitative Treatment Effects.

Chengchun Shi, Shikai Luo, Hongtu Zhu, Rui Song

J. Mach. Learn. Res., 2021

Pattern Transfer Learning for Reinforcement Learning in Order Dispatching.

Runzhe Wan, Sheng Zhang, Chengchun Shi, Shikai Luo, Rui Song

CoRR, 2021

2020

A Reinforcement Learning Framework for Time-Dependent Causal Effects Evaluation in A/B Testing.

Chengchun Shi, Xiaoyu Wang, Shikai Luo, Rui Song, Hongtu Zhu, Jieping Ye

CoRR, 2020

A Joint Inverse Reinforcement Learning and Deep Learning Model for Drivers' Behavioral Prediction.

Guojun Wu, Yanhua Li, Shikai Luo, Ge Song, Qichao Wang, Jing He, Jieping Ye, Xiaohu Qie, Hongtu Zhu

Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2015

Quantitative tract-based white matter heritability in twin neonates.

Seung Jae Lee, Rachel J. Steiner, Shikai Luo, Michael C. Neale, Martin Styner, Hongtu Zhu, John H. Gilmore

NeuroImage, 2015

2014

Sure Screening for Gaussian Graphical Models.

Shikai Luo, Rui Song, Daniela M. Witten

CoRR, 2014