| BINOCULARS for Efficient, Nonmyopic Sequential Experimental Design S Jiang, H Chai, J Gonzalez, R Garnett arXiv, arXiv: 1909.04568, 2019 | 54 | 2019 |
| Improving quadrature for constrained integrands HR Chai, R Garnett The 22nd International Conference on Artificial Intelligence and Statistics …, 2019 | 33 | 2019 |
| Automated model selection with Bayesian quadrature H Chai, JF Ton, MA Osborne, R Garnett International Conference on Machine Learning, 931-940, 2019 | 14 | 2019 |
| Efficient nonmyopic Bayesian optimization and quadrature S Jiang, H Chai, J González, R Garnett arXiv preprint arXiv:1909.04568, 2019 | 8 | 2019 |
| An improved Bayesian framework for quadrature of constrained integrands H Chai, R Garnett arXiv preprint arXiv:1802.04782, 2018 | 4 | 2018 |
| CSE 417T: Introduction to Machine Learning Lecture 13: Validation H Chai | | |
| CSE 417T: Introduction to Machine Learning Lecture 21: Dual SVMs H Chai | | |
| CSE 417T: Introduction to Machine Learning Lecture 4: Infinite Hypothesis Sets H Chai | | |
| CSE 417T: Introduction to Machine Learning Lecture 1: Introduction H Chai | | |
| CSE 417T: Introduction to Machine Learning Lecture 15: Bagging H Chai | | |
| Fairness in machine learning lecture notes (Lecture) H Chai | | |
| CSE 417T: Introduction to Machine Learning Lecture 10: Overfitting H Chai | | |
