| Max-value Entropy Search for Efficient Bayesian Optimization Z Wang, S Jegelka International Conference on Machine Learning (ICML), 2017 | 118 | 2017 |
| Scalable Inference for Logistic-Normal Topic Models J Chen, J Zhu, Z Wang, X Zheng, B Zhang Advances in Neural Information Processing Systems, 2445-2453, 2013 | 77 | 2013 |
| Optimization as Estimation with Gaussian Processes in Bandit Settings Z Wang, B Zhou, S Jegelka International Conference on Artificial Intelligence and Statistics (AISTATS), 2016 | 61 | 2016 |
| Batched High-dimensional Bayesian Optimization via Structural Kernel Learning Z Wang, C Li, S Jegelka, P Kohli International Conference on Machine Learning (ICML), 2017 | 47 | 2017 |
| Batched Large-scale Bayesian Optimization in High-dimensional Spaces Z Wang, C Gehring, P Kohli, S Jegelka International Conference on Artificial Intelligence and Statistics (AISTATS), 2018 | 41 | 2018 |
| Discriminative Non-negative Matrix Factorization for Single-Channel Speech Separation Z Wang, F Sha Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014 | 38 | 2014 |
| Learning to guide task and motion planning using score-space representation B Kim, Z Wang, LP Kaelbling, T Lozano-Perez International Journal of Robotics Research, 2019 | 23 | 2019 |
| Active model learning and diverse action sampling for task and motion planning Z Wang, CR Garrett, LP Kaelbling, T Lozano-Pérez 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2018 | 14 | 2018 |
| Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior Z Wang, B Kim, LP Kaelbling Advances in Neural Information Processing Systems, 10477-10488, 2018 | 9 | 2018 |
| Focused Model-Learning and Planning for Non-Gaussian Continuous State-Action Systems Z Wang, S Jegelka, LP Kaelbling, T Lozano-Pérez IEEE Conference on Robotics and Automation (ICRA), 2017 | 9 | 2017 |
| Learning sparse relational transition models V Xia, Z Wang, K Allen, T Silver, LP Kaelbling International Conference on Learning Representations (ICLR), 2019 | 7 | 2019 |
| Learning compositional models of robot skills for task and motion planning Z Wang, CR Garrett, LP Kaelbling, T Lozano-Pérez arXiv preprint arXiv:2006.06444, 2020 | | 2020 |
| Motion Planning using Naturally Annoying Grammars (NAGs) CR Garrett, C Gehring, G Goretkin, Z Mariet, Z Wang SIGTBD, 2016 | | 2016 |
| Fast Learning with Noise in Deep Neural Nets Z Lu, Z Wang, F Sha NIPS Workshop: Perturbations, Optimization, and Statistics, 2014 | | 2014 |
| Learning structured transition models for multi-object manipulation V Xia, Z Wang, LP Kaelbling | | |
Stefanie JegelkaMITVerified email at mit.edu
