Ziyu Wang

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Jun ZhuProfessor of Computer Science, Tsinghua UniversityVerified email at mail.tsinghua.edu.cn
David WipfPrincipal Research Scientist, Amazon Web ServicesVerified email at amazon.com
Tongzheng RenCitadel SecuritiesVerified email at utexas.edu
Bin Dai清华大学Verified email at mails.tsinghua.edu.cn
Yuhao ZhouPh.D. Student, Tsinghua UniversityVerified email at mails.tsinghua.edu.cn
Weinan ZhangAssociate Professor, Shanghai Jiao Tong UniversityVerified email at sjtu.edu.cn
Qipeng GuoFudan UniversityVerified email at fudan.edu.cn
Xipeng Qiu（邱锡鹏）Professor of Computer Science, Fudan UniversityVerified email at fudan.edu.cn
Zheng ZhangProfessor of Computer Science and Engineering, NYU Shanghai; Director, Amazon Shanghai AI LabVerified email at nyu.edu
Zhijing JinMax Planck Institute & ETH ZürichVerified email at ethz.ch
Shuyu ChengTsinghua UniversityVerified email at mails.tsinghua.edu.cn
Yucen LuoMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHVerified email at tuebingen.mpg.de
Chris HolmesVerified email at stats.ox.ac.uk

Ziyu Wang

Department of Statistics, University of Oxford

Verified email at stats.ox.ac.uk - Homepage

Machine Learning Bayesian Inference Causal Inference


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The Usual Suspects? Reassessing Blame for VAE Posterior Collapse B Dai, Z Wang, D Wipf International Conference on Machine Learning, 2313-2322, 2020	77	2020
Function Space Particle Optimization for Bayesian Neural Networks Z Wang, T Ren, J Zhu, B Zhang International Conference on Learning Representations, 2019	63	2019
Further Analysis of Outlier Detection with Deep Generative Models Z Wang, B Dai, D Wipf, J Zhu Advances in Neural Information Processing Systems, 8982-8992, 2020	38	2020
Fork or fail: Cycle-consistent training with many-to-one mappings Q Guo, Z Jin, Z Wang, X Qiu, W Zhang, J Zhu, Z Zhang, W David International Conference on Artificial Intelligence and Statistics, 1828-1836, 2021	14	2021
Quasi-Bayesian dual instrumental variable regression Z Wang, Y Zhou, T Ren, J Zhu arXiv preprint arXiv:2106.08750, 2021	9*	2021
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models Z Wang, S Cheng, Y Li, J Zhu, B Zhang International Conference on Artificial Intelligence and Statistics, 3728-3738, 2020	9	2020
Spectral representation learning for conditional moment models Z Wang, Y Luo, Y Li, J Zhu, B Schölkopf arXiv preprint arXiv:2210.16525, 2022	4	2022
Fast Instrument Learning with Faster Rates Z Wang, Y Zhou, J Zhu Advances in Neural Information Processing Systems, 2022	1	2022
On Uncertainty Quantification for Near-Bayes Optimal Algorithms Z Wang, C Holmes arXiv preprint arXiv:2403.19381, 2024		2024
A Constrained Bayesian Approach to Out-of-Distribution Prediction Z Wang, B Yuan, J Lu, B Ding, Y Shao, Q Wu, J Zhu The 39th Conference on Uncertainty in Artificial Intelligence, 2023		2023

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