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ORCIDChin Pang Ho
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2020 – today
- 2024
[j8]Shubhechyya Ghosal, Chin Pang Ho
, Wolfram Wiesemann:
A Unifying Framework for the Capacitated Vehicle Routing Problem Under Risk and Ambiguity. Oper. Res. 72(2): 425-443 (2024)- [c18]Shaohang Xu, Haolin Ruan, Wentao Zhang, Yian Wang, Lijun Zhu, Chin Pang Ho:
Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor. ICRA 2024: 88-94 - [c17]Shaohang Xu, Yian Wang, Wentao Zhang, Chin Pang Ho, Lijun Zhu:
Observer-based Distributed MPC for Collaborative Quadrotor-Quadruped Manipulation of a Cable-Towed Load. ICRA 2024: 4591-4597 - [c16]Shaohang Xu, Wentao Zhang, Chin Pang Ho, Lijun Zhu:
Optimal Prescribed-Time Control based Reactive Planning System for Quadruped Robot Navigation. ICRA 2024: 13185-13191 - 2023
- [j7]Haolin Ruan, Zhi Chen, Chin Pang Ho:
Adjustable Distributionally Robust Optimization with Infinitely Constrained Ambiguity Sets. INFORMS J. Comput. 35(5): 1002-1023 (2023) - [j6]Shaohang Xu, Lijun Zhu, Hai-Tao Zhang, Chin Pang Ho:
Robust Convex Model Predictive Control for Quadruped Locomotion Under Uncertainties. IEEE Trans. Robotics 39(6): 4837-4854 (2023) - [c15]Haolin Ruan, Siyu Zhou, Zhi Chen, Chin Pang Ho:
Robust Satisficing MDPs. ICML 2023: 29232-29258 - [c14]Qiuhao Wang, Chin Pang Ho, Marek Petrik:
Policy Gradient in Robust MDPs with Global Convergence Guarantee. ICML 2023: 35763-35797 - [c13]Shaohang Xu, Wentao Zhang, Lijun Zhu, Chin Pang Ho:
Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots. ICRA 2023: 9995-10002 - [c12]Le Yang, Siyang Gao, Chin Pang Ho:
Improving the Knowledge Gradient Algorithm. NeurIPS 2023 - [c11]Zhuodong Yu, Ling Dai, Shaohang Xu, Siyang Gao, Chin Pang Ho:
Fast Bellman Updates for Wasserstein Distributionally Robust MDPs. NeurIPS 2023 - [c10]Joshua Tobin, Chin Pang Ho, Mimi Zhang:
Reinforced EM Algorithm for Clustering with Gaussian Mixture Models. SDM 2023: 118-126 - [i7]Haolin Ruan, Zhi Chen, Chin Pang Ho:
Risk-Averse MDPs under Reward Ambiguity. CoRR abs/2301.01045 (2023) - [i6]Shaohang Xu, Haolin Ruan, Wentao Zhang, Yian Wang, Lijun Zhu, Chin Pang Ho:
Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor. CoRR abs/2308.16381 (2023) - 2022
- [j5]Chin Pang Ho, Michal Kocvara, Panos Parpas:
Newton-type multilevel optimization method. Optim. Methods Softw. 37(1): 45-78 (2022) - [c9]Shaohang Xu, Lijun Zhu, Chin Pang Ho:
Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach. ICRA 2022: 4649-4655 - [c8]Chin Pang Ho, Marek Petrik, Wolfram Wiesemann:
Robust $\phi$-Divergence MDPs. NeurIPS 2022 - [i5]Chin Pang Ho, Marek Petrik, Wolfram Wiesemann:
Robust Phi-Divergence MDPs. CoRR abs/2205.14202 (2022) - [i4]Qiuhao Wang, Chin Pang Ho, Marek Petrik:
On the Convergence of Policy Gradient in Robust MDPs. CoRR abs/2212.10439 (2022) - 2021
- [j4]Chin Pang Ho, Marek Petrik, Wolfram Wiesemann:
Partial Policy Iteration for L1-Robust Markov Decision Processes. J. Mach. Learn. Res. 22: 275:1-275:46 (2021) - [c7]Bahram Behzadian, Reazul Hasan Russel, Marek Petrik, Chin Pang Ho:
Optimizing Percentile Criterion using Robust MDPs. AISTATS 2021: 1009-1017 - [c6]Bahram Behzadian, Marek Petrik, Chin Pang Ho:
Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs. NeurIPS 2021: 25982-25992 - 2020
- [i3]Chin Pang Ho, Marek Petrik, Wolfram Wiesemann:
Partial Policy Iteration for L1-Robust Markov Decision Processes. CoRR abs/2006.09484 (2020)
2010 – 2019
- 2019
- [j3]Chin Pang Ho, Panos Parpas:
Empirical risk minimization: probabilistic complexity and stepsize strategy. Comput. Optim. Appl. 73(2): 387-410 (2019) - 2018
- [j2]Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. IEEE Trans. Medical Imaging 37(5): 1081-1091 (2018) - [c5]Chin Pang Ho, Marek Petrik, Wolfram Wiesemann:
Fast Bellman Updates for Robust MDPs. ICML 2018: 1984-1993 - [i2]Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. CoRR abs/1806.07490 (2018) - [i1]Yuanwei Li, Chin Pang Ho, Matthieu Toulemonde, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model. CoRR abs/1806.07497 (2018) - 2016
- [c4]Yuanwei Li, Chin Pang Ho, Navtej Chahal, Roxy Senior, Meng-Xing Tang:
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model. MICCAI (3) 2016: 158-165 - 2015
- [c3]Liang Chen, Tong Tong, Chin Pang Ho, Rajiv Patel, David A. Cohen, Angela C. Dawson, Omid Halse, Olivia Geraghty, Paul E. M. Rinne, Christopher J. White, Tagore Nakornchai, Paul Bentley, Daniel Rueckert:
Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning. MICCAI (1) 2015: 523-530 - [c2]Chin Pang Ho, Panos Parpas:
On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes. SIAM Conf. on Control and its Applications 2015: 228-235 - 2014
- [j1]Chin Pang Ho, Panos Parpas:
Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm. SIAM J. Control. Optim. 52(6): 3854-3886 (2014) - [c1]Xi Chen, Chin Pang Ho, Rasha Osman, Peter G. Harrison, William J. Knottenbelt:
Understanding, modelling, and improving the performance of web applications in multicore virtualised environments. ICPE 2014: 197-207
Coauthor Index
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last updated on 2024-09-13 01:39 CEST by the dblp team
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