Chin Pang Ho

Orcid: 0000-0002-2143-978X

According to our database1, Chin Pang Ho authored at least 24 papers between 2014 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
Robust Convex Model Predictive Control for Quadruped Locomotion Under Uncertainties.
IEEE Trans. Robotics, December, 2023

Wasserstein Distributionally Robust Chance Constrained Trajectory Optimization for Mobile Robots within Uncertain Safe Corridor.
CoRR, 2023

Risk-Averse MDPs under Reward Ambiguity.
CoRR, 2023

Reinforced EM Algorithm for Clustering with Gaussian Mixture Models.
Proceedings of the 2023 SIAM International Conference on Data Mining, 2023

Fast Bellman Updates for Wasserstein Distributionally Robust MDPs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Improving the Knowledge Gradient Algorithm.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Distributed Model Predictive Formation Control with Gait Synchronization for Multiple Quadruped Robots.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

Policy Gradient in Robust MDPs with Global Convergence Guarantee.
Proceedings of the International Conference on Machine Learning, 2023

Robust Satisficing MDPs.
Proceedings of the International Conference on Machine Learning, 2023

2022
Newton-type multilevel optimization method.
Optim. Methods Softw., 2022

On the Convergence of Policy Gradient in Robust MDPs.
CoRR, 2022

Robust $\phi$-Divergence MDPs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Learning Efficient and Robust Multi-Modal Quadruped Locomotion: A Hierarchical Approach.
Proceedings of the 2022 International Conference on Robotics and Automation, 2022

2021
Partial Policy Iteration for L1-Robust Markov Decision Processes.
J. Mach. Learn. Res., 2021

Fast Algorithms for $L_\infty$-constrained S-rectangular Robust MDPs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Optimizing Percentile Criterion using Robust MDPs.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2019
Empirical risk minimization: probabilistic complexity and stepsize strategy.
Comput. Optim. Appl., 2019

2018
Fully Automatic Myocardial Segmentation of Contrast Echocardiography Sequence Using Random Forests Guided by Shape Model.
IEEE Trans. Medical Imaging, 2018

Fast Bellman Updates for Robust MDPs.
Proceedings of the 35th International Conference on Machine Learning, 2018

2016
Myocardial Segmentation of Contrast Echocardiograms Using Random Forests Guided by Shape Model.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2016, 2016

2015
On Using Spectral Graph Theory to Infer the Structure of Multiscale Markov Processes.
Proceedings of the 2015 Proceedings of the Conference on Control and its Applications, 2015

Identification of Cerebral Small Vessel Disease Using Multiple Instance Learning.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2015, 2015

2014
Singularly Perturbed Markov Decision Processes: A Multiresolution Algorithm.
SIAM J. Control. Optim., 2014

Understanding, modelling, and improving the performance of web applications in multicore virtualised environments.
Proceedings of the ACM/SPEC International Conference on Performance Engineering, 2014


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