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Zi Wang
Zi Wang
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Title
Cited by
Cited by
Year
Max-value Entropy Search for Efficient Bayesian Optimization
Z Wang, S Jegelka
International Conference on Machine Learning (ICML), 2017
2642017
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
1092018
Scalable Inference for Logistic-Normal Topic Models
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
Advances in Neural Information Processing Systems (NeurIPS), 2445-2453, 2013
882013
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
Z Wang, C Li, S Jegelka, P Kohli
International Conference on Machine Learning (ICML), 2017
872017
Optimization as Estimation with Gaussian Processes in Bandit Settings
Z Wang, B Zhou, S Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
782016
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 (IJRR), 2019
572019
Discriminative Non-negative Matrix Factorization for Single-Channel Speech Separation
Z Wang, F Sha
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
532014
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
452018
Regret bounds for meta Bayesian optimization with an unknown Gaussian process prior
Z Wang, B Kim, LP Kaelbling
Advances in Neural Information Processing Systems (NeurIPS), 10477-10488, 2018
232018
Learning compositional models of robot skills for task and motion planning
Z Wang, CR Garrett, LP Kaelbling, T Lozano-Pérez
The International Journal of Robotics Research (IJRR) 40 (6-7), 866-894, 2021
202021
Learning sparse relational transition models
V Xia, Z Wang, K Allen, T Silver, LP Kaelbling
International Conference on Learning Representations (ICLR), 2019
192019
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
122017
Pre-training helps Bayesian optimization too
Z Wang, GE Dahl, K Swersky, C Lee, Z Mariet, Z Nado, J Gilmer, J Snoek, ...
arXiv preprint arXiv:2109.08215, 2022
12022
Optimization as Estimation with Gaussian Processes in Bandit Settings
Z Wang, B Zhou, S Jegelka
arXiv preprint arXiv:1510.06423, 2015
12015
Fast Learning with Noise in Deep Neural Nets
Z Lu, Z Wang, F Sha
NIPS Workshop: Perturbations, Optimization, and Statistics, 2014
12014
Towards Learning Universal Hyperparameter Optimizers with Transformers
Y Chen, X Song, C Lee, Z Wang, Q Zhang, D Dohan, K Kawakami, ...
arXiv preprint arXiv:2205.13320, 2022
2022
Robot learning with strong priors
Z Wang
Massachusetts Institute of Technology, 2020
2020
Motion Planning using Naturally Annoying Grammars (NAGs)
CR Garrett, C Gehring, G Goretkin, Z Mariet, Z Wang
SIGTBD, 2016
2016
Learning structured transition models for multi-object manipulation
V Xia, Z Wang, LP Kaelbling
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