Follow
Zi Wang
Zi Wang
Google DeepMind
Verified email at google.com - Homepage
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
4222017
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
1882018
Batched High-dimensional Bayesian Optimization via Structural Kernel Learning
Z Wang, C Li, S Jegelka, P Kohli
International Conference on Machine Learning (ICML), 2017
1262017
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
932019
Optimization as Estimation with Gaussian Processes in Bandit Settings
Z Wang, B Zhou, S Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
922016
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
912013
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
852021
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
702022
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
692018
Discriminative Non-negative Matrix Factorization for Single-Channel Speech Separation
Z Wang, F Sha
Acoustics, Speech and Signal Processing (ICASSP), 2014 IEEE International …, 2014
572014
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
402018
Learning sparse relational transition models
V Xia, Z Wang, K Allen, T Silver, LP Kaelbling
International Conference on Learning Representations (ICLR), 2019
282019
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
212017
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
202022
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, 2023
142023
Grammar Prompting for Domain-Specific Language Generation with Large Language Models
B Wang, Z Wang, X Wang, Y Cao, RA Saurous, Y Kim
arXiv preprint arXiv:2305.19234, 2023
122023
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
7
Pre-training helps Bayesian optimization too
Z Wang, GE Dahl, K Swersky, C Lee, Z Mariet, Z Nado, J Gilmer, J Snoek, ...
ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the …, 2022
52022
Gaussian Process Probes (GPP) for Uncertainty-Aware Probing
Z Wang, A Ku, J Baldridge, TL Griffiths, B Kim
arXiv preprint arXiv:2305.18213, 2023
32023
Automatic prior selection for meta Bayesian optimization with a case study on tuning deep neural network optimizers
Z Wang, GE Dahl, K Swersky, C Lee, ZE Mariet, Z Nado, J Gilmer, ...
32021
The system can't perform the operation now. Try again later.
Articles 1–20