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Zi Wang
Zi Wang
Google DeepMind
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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, 3627-3635, 2017
4632017
Batched large-scale Bayesian optimization in high-dimensional spaces
Z Wang, C Gehring, P Kohli, S Jegelka
International Conference on Artificial Intelligence and Statistics, 745-754, 2018
2092018
Batched high-dimensional Bayesian optimization via structural kernel learning
Z Wang, C Li, S Jegelka, P Kohli
International conference on machine learning, 3656-3664, 2017
1332017
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 40 (6-7), 866-894, 2021
1052021
Learning to guide task and motion planning using score-space representation
B Kim, Z Wang, LP Kaelbling, T Lozano-Pérez
The International Journal of Robotics Research 38 (7), 793-812, 2019
1042019
Plex: Towards reliability using pretrained large model extensions
D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ...
arXiv preprint arXiv:2207.07411, 2022
962022
Scalable inference for logistic-normal topic models
J Chen, J Zhu, Z Wang, X Zheng, B Zhang
Advances in neural information processing systems 26, 2013
932013
Optimization as estimation with Gaussian processes in bandit settings
Z Wang, B Zhou, S Jegelka
Artificial Intelligence and Statistics, 1022-1031, 2016
892016
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
772018
Discriminative non-negative matrix factorization for single-channel speech separation
Z Wang, F Sha
2014 IEEE International Conference on Acoustics, Speech and Signal …, 2014
582014
Regret bounds for meta bayesian optimization with an unknown gaussian process prior
Z Wang, B Kim, LP Kaelbling
Advances in Neural Information Processing Systems 31, 2018
432018
Towards learning universal hyperparameter optimizers with transformers
Y Chen, X Song, C Lee, Z Wang, R Zhang, D Dohan, K Kawakami, ...
Advances in Neural Information Processing Systems 35, 32053-32068, 2022
412022
Grammar prompting for domain-specific language generation with large language models
B Wang, Z Wang, X Wang, Y Cao, R A Saurous, Y Kim
Advances in Neural Information Processing Systems 36, 2024
312024
Learning sparse relational transition models
V Xia, Z Wang, LP Kaelbling
arXiv preprint arXiv:1810.11177, 2018
292018
Pre-trained Gaussian processes for Bayesian optimization
Z Wang, GE Dahl, K Swersky, C Lee, Z Nado, J Gilmer, J Snoek, ...
arXiv preprint arXiv:2109.08215, 2021
252021
Focused model-learning and planning for non-Gaussian continuous state-action systems
Z Wang, S Jegelka, LP Kaelbling, T Lozano-Pérez
2017 IEEE International conference on robotics and automation (ICRA), 3754-3761, 2017
212017
Plex: towards reliability using pretrained large model extensions (2022)
D Tran, J Liu, MW Dusenberry, D Phan, M Collier, J Ren, K Han, Z Wang, ...
URL https://arxiv. org/abs/2207.07411, 0
8
Gaussian process probes (gpp) for uncertainty-aware probing
Z Wang, A Ku, J Baldridge, T Griffiths, B Kim
Advances in Neural Information Processing Systems 36, 2024
62024
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:2207.03084, 2022
62022
Transfer Learning for Bayesian Optimization on Heterogeneous Search Spaces
Z Fan, X Han, Z Wang
arXiv preprint arXiv:2309.16597, 2023
32023
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