Ziyu Wang

According to our database, Ziyu Wang authored at least 9 papers between 2019 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

A constrained Bayesian approach to out-of-distribution prediction.

Ziyu Wang, Binjie Yuan, Jiaxun Lu, Bowen Ding, Yunfeng Shao, Qibin Wu, Jun Zhu

Proceedings of the Uncertainty in Artificial Intelligence, 2023

2022

Spectral Representation Learning for Conditional Moment Models.

Ziyu Wang, Yucen Luo, Yueru Li, Jun Zhu, Bernhard Schölkopf

CoRR, 2022

Fast Instrument Learning with Faster Rates.

Ziyu Wang, Yuhao Zhou, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression.

Ziyu Wang, Yuhao Zhou, Tongzheng Ren, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings.

Qipeng Guo, Zhijing Jin, Ziyu Wang, Xipeng Qiu, Weinan Zhang, Jun Zhu, Zheng Zhang, David Wipf

Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020

Further Analysis of Outlier Detection with Deep Generative Models.

Ziyu Wang, Bin Dai, David P. Wipf, Jun Zhu

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

The Usual Suspects? Reassessing Blame for VAE Posterior Collapse.

Bin Dai, Ziyu Wang, David P. Wipf

Proceedings of the 37th International Conference on Machine Learning, 2020

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models.

Ziyu Wang, Shuyu Cheng, Yueru Li, Jun Zhu, Bo Zhang

Proceedings of the 23rd International Conference on Artificial Intelligence and Statistics, 2020

2019

Function Space Particle Optimization for Bayesian Neural Networks.

Ziyu Wang, Tongzheng Ren, Jun Zhu, Bo Zhang

Proceedings of the 7th International Conference on Learning Representations, 2019