Reinforcement learning for logistics and supply chain management: Methodologies, state of the art, and future opportunities Y Yan, AHF Chow, CP Ho, YH Kuo, Q Wu, C Ying Transportation Research Part E: Logistics and Transportation Review 162, 102712, 2022 | 121 | 2022 |
Fast Bellman updates for robust MDPs CP Ho, M Petrik, W Wiesemann International Conference on Machine Learning, 1979-1988, 2018 | 73 | 2018 |
Partial policy iteration for l1-robust markov decision processes CP Ho, M Petrik, W Wiesemann Journal of Machine Learning Research 22 (275), 1-46, 2021 | 62 | 2021 |
On data-driven prescriptive analytics with side information: A regularized nadaraya-watson approach PR Srivastava, Y Wang, GA Hanasusanto, CP Ho arXiv preprint arXiv:2110.04855, 2021 | 60* | 2021 |
Fully automatic myocardial segmentation of contrast echocardiography sequence using random forests guided by shape model Y Li, CP Ho, M Toulemonde, N Chahal, R Senior, MX Tang IEEE transactions on medical imaging 37 (5), 1081-1091, 2017 | 51 | 2017 |
Fast Algorithms for -constrained S-rectangular Robust MDPs B Behzadian, M Petrik, CP Ho Advances in Neural Information Processing Systems 34, 25982-25992, 2021 | 33 | 2021 |
Policy gradient in robust mdps with global convergence guarantee Q Wang, CP Ho, M Petrik International Conference on Machine Learning, 35763-35797, 2023 | 27* | 2023 |
Identification of cerebral small vessel disease using multiple instance learning L Chen, T Tong, CP Ho, R Patel, D Cohen, AC Dawson, O Halse, ... Medical Image Computing and Computer-Assisted Intervention--MICCAI 2015 …, 2015 | 26 | 2015 |
Robust -Divergence MDPs CP Ho, M Petrik, W Wiesemann Advances in Neural Information Processing Systems 35, 32680-32693, 2022 | 25 | 2022 |
Optimizing percentile criterion using robust MDPs B Behzadian, RH Russel, M Petrik, CP Ho International Conference on Artificial Intelligence and Statistics, 1009-1017, 2021 | 22 | 2021 |
Understanding, modelling, and improving the performance of web applications in multicore virtualised environments X Chen, CP Ho, R Osman, PG Harrison, WJ Knottenbelt Proceedings of the 5th ACM/SPEC international conference on Performance …, 2014 | 22 | 2014 |
Learning efficient and robust multi-modal quadruped locomotion: A hierarchical approach S Xu, L Zhu, CP Ho 2022 international conference on robotics and automation (ICRA), 4649-4655, 2022 | 14 | 2022 |
Robust convex model predictive control for quadruped locomotion under uncertainties S Xu, L Zhu, HT Zhang, CP Ho IEEE Transactions on Robotics, 2023 | 12 | 2023 |
Fast bellman updates for wasserstein distributionally robust MDPs Z Yu, L Dai, S Xu, S Gao, CP Ho Advances in Neural Information Processing Systems 36, 2024 | 9 | 2024 |
Newton-type multilevel optimization method CP Ho, M Kočvara, P Parpas Optimization Methods and Software 37 (1), 45-78, 2022 | 8 | 2022 |
A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity S Ghosal, CP Ho, W Wiesemann | 8 | 2021 |
Myocardial segmentation of contrast echocardiograms using random forests guided by shape model Y Li, CP Ho, N Chahal, R Senior, MX Tang Medical Image Computing and Computer-Assisted Intervention-MICCAI 2016: 19th …, 2016 | 8 | 2016 |
Singularly perturbed Markov decision processes: A multiresolution algorithm CP Ho, P Parpas SIAM Journal on Control and Optimization 52 (6), 3854-3886, 2014 | 8 | 2014 |
Robust satisficing mdps H Ruan, S Zhou, Z Chen, CP Ho International Conference on Machine Learning, 29232-29258, 2023 | 3 | 2023 |
Risk-averse MDPs under reward ambiguity H Ruan, Z Chen, CP Ho arXiv preprint arXiv:2301.01045, 2023 | 3 | 2023 |