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
79 2022 Fast Bellman updates for robust MDPs CP Ho, M Petrik, W Wiesemann
International Conference on Machine Learning, 1979-1988, 2018
64 2018 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
52 * 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 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
50 2021 Fast Algorithms for -constrained S-rectangular Robust MDPs B Behzadian, M Petrik, CP Ho
Advances in Neural Information Processing Systems 34, 25982-25992, 2021
24 2021 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
24 2015 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 Robust -Divergence MDPs CP Ho, M Petrik, W Wiesemann
Advances in Neural Information Processing Systems 35, 32680-32693, 2022
19 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
18 2021 Policy gradient in robust MDPs with global convergence guarantee Q Wang, CP Ho, M Petrik
International Conference on Machine Learning, 35763-35797, 2023
15 * 2023 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
10 2022 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 Newton-type multilevel optimization method CP Ho, M Kočvara, P Parpas
Optimization Methods and Software 37 (1), 45-78, 2022
7 2022 Robust convex model predictive control for quadruped locomotion under uncertainties S Xu, L Zhu, HT Zhang, CP Ho
IEEE Transactions on Robotics, 2023
6 2023 A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity S Ghosal, CP Ho, W Wiesemann
4 2021 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
3 2024 Multilevel optimization methods: Convergence and problem structure CP Ho, P Parpas
Department of Computing, Imperial College London, United Kingdom, 50, 2016
3 2016 Risk-averse MDPs under reward ambiguity H Ruan, Z Chen, CP Ho
arXiv preprint arXiv:2301.01045, 2023
2 2023