Publications
Working Papers
H. Ruan, Z. Chen, and C. P. Ho, Risk-Averse MDPs under Reward Ambiguity, Available online.
Y. Wang, L. Dai, G. A. Hanasusanto, and C. P. Ho, Robust Contextual Portfolio Optimization with Gaussian Mixture Models, Available online.
P. Srivastava, Y. Wang, G. A. Hanasusanto, and C. P. Ho, On Data-Driven Prescriptive Analytics with Side Information: A Regularized Nadaraya-Watson Approach, Available online.
Journal Papers
S. Ghosal, C. P. Ho, and W. Wiesemann, A Unifying Framework for the Capacitated Vehicle Routing Problem under Risk and Ambiguity, Operations Research, 2023.
S. Xu, L. Zhu, H.-T. Zhang, and C. P. Ho, Robust Convex Model Predictive Control for Quadruped Locomotion under Uncertainties, IEEE Transactions on Robotics, 2023.
H. Ruan, Z. Chen, and C. P. Ho, Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets, INFORMS Journal on Computing, 2023.
Y. Yan, A. H.F. Chow, C. P. Ho, Y.-H. Kuo, Q. Wu, and C. Ying, Reinforcement Learning for Logistics and Supply Chain Management: Methodologies, State of the Art, and Future Opportunities, Transportation Research Part E, 2022.
C. P. Ho, M. Petrik, and W. Wiesemann, Partial Policy Iteration for L1-Robust Markov Decision Processes, Journal of Machine Learning Research, 2021.
C. P. Ho, M. Kočvara, and P. Parpas, Newton-type Multilevel Optimization Method, Optimization Methods and Software, 2019.
C. P. Ho and P. Parpas, Empirical Risk Minimization: Probabilistic Complexity and Stepsize Strategy, Computational Optimization and Applications, 2019.
Y. Li, C. P. Ho, M. Toulemonde, N. Chahal, R. Senior, and M.-X. Tang, Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model, IEEE Transactions on Medical Imaging, 2017.
C. P. Ho and P. Parpas, Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm, SIAM Journal on Control and Optimization, 2014.
Conference Papers
S. Xu, H. Ruan, W. Zhang, Y. Wang, L. Zhu, and C. P. Ho, Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor, Accepted in IEEE International Conference on Robotics and Automation (ICRA), 2024.
S. Xu, W. Zhang, L. Zhu, and C. P. Ho, Optimal Prescribed-Time Control based Reactive Planning System for Quadruped Robot Navigation, Accepted in IEEE International Conference on Robotics and Automation (ICRA), 2024.
S. Xu, Y. Wang, W. Zhang, C. P. Ho, and L. Zhu, Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load, Accepted in IEEE International Conference on Robotics and Automation (ICRA), 2024.
Z. Yu, L. Dai, S. Xu, S. Gao, and C. P. Ho, Fast Bellman Updates for Wasserstein Distributionally Robust MDPs, Conference on Neural Information Processing Systems (NeurIPS), 2023.
L. Yang, S. Gao, and C. P. Ho, Improving the Knowledge Gradient Algorithm, Conference on Neural Information Processing Systems (NeurIPS), 2023.
Q. Wang, C. P. Ho, and M. Petrik, Policy Gradient in Robust MDPs with Global Convergence Guarantee, International Conference on Machine Learning (ICML), 2023.
H. Ruan, S. Zhou, Z. Chen, and C. P. Ho, Robust Satisficing MDPs, International Conference on Machine Learning (ICML), 2023.
S. Xu, W. Zhang, L. Zhu, and C. P. Ho, Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots, IEEE International Conference on Robotics and Automation (ICRA), 2023.
J. Tobin, C. P. Ho, and M. Zhang, Reinforced EM Algorithm for Clustering with Gaussian Mixture Models, SIAM International Conference on Data Mining (SDM23), 2023.
C. P. Ho, M. Petrik, and W. Wiesemann, Robust Phi-Divergence MDPs, Conference on Neural Information Processing Systems (NeurIPS), 2022. [code]
S. Xu, L. Zhu, and C. P. Ho, Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach, IEEE International Conference on Robotics and Automation (ICRA), 2022.
B. Behzadian, M. Petrik, and C. P. Ho, Fast Algorithms for L-infinity-constrained S-rectangular Robust MDPs, Conference on Neural Information Processing Systems (NeurIPS), 2021.
B. Behzadian, R. H. Russel, M. Petrik, and C. P. Ho, Optimizing Percentile Criterion using Robust MDPs, International Conference on Artificial Intelligence and Statistics (AISTATS), 2021.
C. P. Ho, M. Petrik, and W. Wiesemann, Fast Bellman Updates for Robust MDPs, International Conference on Machine Learning (ICML), 2018.
Y. Li, C. P. Ho, N. Chahal, R. Senior, and M.-X. Tang, Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2016.
L. Chen, T. Tong, C. P. Ho, R. Patel, D. Cohen, A. C. Dawson, O. Halse, O. Geraghty, P. E.M. Rinne, C. J. White, T. Nakornchai, P. Bentley, and D. Rueckert, Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning, Medical Image Computing and Computer-Assisted Intervention (MICCAI), 2015.
C. P. Ho and P. Parpas, On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes, Conference on Control and its Applications, 2015.
X. Chen, C. P. Ho, R. Osman, P. Harrison, and W. Knottenbelt, Understanding, Modelling and Improving the Performance of Web Applications in Multi-core Virtualised Environments, ACM/SPEC International Conference on Performance Engineering (ICPE), 2014.