| Finding all Bayesian network structures within a factor of optimal ZA Liao, C Sharma, J Cussens, P van Beek Proceedings of the AAAI conference on artificial intelligence 33 (01), 7892-7899, 2019 | 28 | 2019 |
| Learning to search more efficiently from experience: A multi-heuristic approach S Aine, C Sharma, M Likhachev Proceedings of the International Symposium on Combinatorial Search 6 (1 …, 2015 | 9 | 2015 |
| A score-and-search approach to learning Bayesian networks with noisy-or relations C Sharma, ZA Liao, J Cussens, P Beek International Conference on Probabilistic Graphical Models, 413-424, 2020 | 4 | 2020 |
| Scalable Bayesian network structure learning with splines C Sharma, P van Beek International Conference on Probabilistic Graphical Models, 181-192, 2022 | 3 | 2022 |
| Improved Scalability and Accuracy of Bayesian Network Structure Learning in the Score-and-Search Paradigm C Sharma University of Waterloo, 2023 | | 2023 |
| An empirical study of scoring functions for learning Bayesian networks in model averaging. ZA Liao, C Sharma, D Luo, P van Beek Canadian AI, 2022 | | 2022 |
| Learning All Credible Bayesian Network Structures for Model Averaging ZA Liao, C Sharma, J Cussens, P van Beek arXiv preprint arXiv:2008.13618, 2020 | | 2020 |
| Technology Diffusion on Spiders C Sharma University of Waterloo, 2017 | | 2017 |
| Deep Reinforcement Learning for Automated Theorem Proving J Chen, Z Ma, C Sharma, R Zhang | | |
Peter van BeekProfessor Emeritus of Computer Science, University of Waterloo在 uwaterloo.ca 的电子邮件经过验证
