Ziyu Wang

Publication Activity (10 Years)

Years Active: 2019-2022
Publications (10 Years): 15

Top Topics

Bayesian Inference

Top Venues

Publications

Ziyu Wang, Yuhao Zhou, Jun Zhu
Fast Instrument Learning with Faster Rates. CoRR (2022)
Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf
Spectral Representation Learning for Conditional Moment Models. CoRR (2022)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. AISTATS (2021)
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. CoRR (2021)
Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu
Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. NeurIPS (2021)
Bin Dai, Ziyu Wang, David P. Wipf
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse. ICML (2020)
Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf
Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. CoRR (2020)
Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu
Further Analysis of Outlier Detection with Deep Generative Models. NeurIPS (2020)
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. CoRR (2020)
Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu
Further Analysis of Outlier Detection with Deep Generative Models. CoRR (2020)
Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang
A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. AISTATS (2020)
Ziyu Wang, Bin Dai, David Wipf, Jun Zhu
Further Analysis of Outlier Detection with Deep Generative Models. ICBINB@NeurIPS (2020)
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
Function Space Particle Optimization for Bayesian Neural Networks. ICLR (Poster) (2019)
Bin Dai, Ziyu Wang, David P. Wipf
The Usual Suspects? Reassessing Blame for VAE Posterior Collapse. CoRR (2019)
Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang
Function Space Particle Optimization for Bayesian Neural Networks. CoRR (2019)