Publications

2024

Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
Journal of Machine Learning Research (JMLR), 2024
Blog PDF Code


Zhou Fan, Xinran Han, Zi Wang
Transactions on Machine Learning Research (TMLR), 2024
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2023

William Bankes, George Hughes, Ilija Bogunovic, Zi Wang
arXiv:2312.00486 [cs.LG], 2023
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Zi Wang*, Alexander Ku*, Jason Baldridge, Thomas L. Griffiths, Been Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023
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Bailin Wang, Zi Wang, Xuezhi Wang, Yuan Cao, Rif A. Saurous, Yoon Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023
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2022

Dustin Tran, Jeremiah Zhe Liu, Michael W Dusenberry, Du Phan, Mark Collier, Jie Ren, Kehang Han, Zi Wang, Zelda E Mariet, Huiyi Hu, Neil Band, Tim G. J. Rudner, Zachary Nado, Joost van Amersfoort, Andreas Kirsch, Rodolphe Jenatton, Nithum Thain, E. Kelly Buchanan, Kevin Patrick Murphy, D. Sculley, Yarin Gal, Zoubin Ghahramani, Jasper Snoek, Balaji Lakshminarayanan
arXiv:2207.07411 [cs.LG]; ICML2022 Workshop on Pre-Training and ICML2022 Workshop on Principles of Distribution Shift, 2022
Blog PDF Code Short version


Yutian Chen, Xingyou Song, Chansoo Lee, Zi Wang, Qiuyi Zhang, David Dohan, Kazuya Kawakami, Greg Kochanski, Arnaud Doucet, Marc'aurelio Ranzato, Sagi Perel, Nando de Freitas
Advances in Neural Information Processing Systems (NeurIPS), 2022
Blog PDF Code


Zhou Fan, Xinran Han, Zi Wang
NeurIPS Workshop on Gaussian Processes, Spatiotemporal Modeling, and Decision-making Systems, 2022
PDF Poster


Zi Wang, George E. Dahl, Kevin Swersky, Chansoo Lee, Zelda Mariet, Zachary Nado, Justin Gilmer, Jasper Snoek, Zoubin Ghahramani
ICML2022 Workshop on Adaptive Experimental Design and Active Learning in the Real World, 2022
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2021

Zi Wang*, Caelan Reed Garrett*, Leslie Pack Kaelbling, Tomás Lozano-Pérez
International Journal of Robotics Research (IJRR), 2021
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2020

Zelda Mariet, Ghassen Jerfel, Zi Wang, Christof Angermüller, David Belanger, Suhani Vora, Maxwell Bileschi, Lucy Colwell, D Sculley, Dustin Tran, Jasper Snoek
Machine Learning for Molecules Workshop at NeurIPS 2020, 2020
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Zi Wang
MIT Ph.D. Thesis, 2020
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2019

Victoria Xia*, Zi Wang*, Kelsey Allen, Tom Silver and Leslie Pack Kaelbling
International Conference on Learning Representations (ICLR), 2019
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Beomjoon Kim, Zi Wang, Leslie Pack Kaelbling, Tomás Lozano-Pérez
International Journal of Robotics Research (IJRR), 2019
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2018

Zi Wang*, Beomjoon Kim* and Leslie Pack Kaelbling
Advances in Neural Information Processing Systems (NIPS), 2018
Spotlight talk (3.5% acceptance rate)
Project page PDF Code Poster


Zi Wang, Caelan Reed Garrett, Leslie Pack Kaelbling and Tomás Lozano-Pérez
International Conference on Intelligent Robots and Systems (IROS), 2018
Project page PDF Code Slides


Zi Wang, Clement Gehring, Pushmeet Kohli and Stefanie Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS), 2018
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2017

Zi Wang, Stefanie Jegelka, Leslie Pack Kaelbling and Tomás Lozano-Pérez
IEEE Conference on Robotics and Automation (ICRA), 2017
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Zi Wang and Stefanie Jegelka
International Conference on Machine Learning (ICML), 2017
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Zi Wang*, Chengtao Li*, Stefanie Jegelka and Pushmeet Kohli
International Conference on Machine Learning (ICML), 2017
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2016

Zi Wang, Bolei Zhou and Stefanie Jegelka
International Conference on Artificial Intelligence and Statistics (AISTATS), 2016
Oral (6% acceptance rate)
Project page PDF Code Slides


2014

Zhiyun Lu*, Zi Wang* and Fei Sha
NIPS Workshop: Perturbations, Optimization, and Statistics, 2014
Spotlight talk
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Zi Wang and Fei Sha
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Project page PDF Poster


2013

Jianfei Chen, Jun Zhu, Zi Wang, Xun Zheng and Bo Zhang
Advances in Neural Information Processing Systems (NIPS), 2013
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