Function Space Particle Optimization for Bayesian Neural Networks. - Ziyu Wang 006; Tongzheng Ren; Jun Zhu 001; Bo Zhang 010 (ICLR (Poster), 2019)

A Wasserstein Minimum Velocity Approach to Learning Unnormalized Models. - Ziyu Wang 006; Shuyu Cheng; Yueru Li; Jun Zhu 001; Bo Zhang 010 (AISTATS, 2020)

The Usual Suspects? Reassessing Blame for VAE Posterior Collapse. - Bin Dai; Ziyu Wang 006; David P. Wipf (ICML, 2020)

Further Analysis of Outlier Detection with Deep Generative Models. - Ziyu Wang 006; Bin Dai; David P. Wipf; Jun Zhu 001 (NeurIPS, 2020)

Fork or Fail: Cycle-Consistent Training with Many-to-One Mappings. - Qipeng Guo; Zhijing Jin 001; Ziyu Wang 006; Xipeng Qiu; Weinan Zhang 001; Jun Zhu 001; Zheng Zhang 001; David Wipf (AISTATS, 2021)

Scalable Quasi-Bayesian Inference for Instrumental Variable Regression. - Ziyu Wang 006; Yuhao Zhou; Tongzheng Ren; Jun Zhu 001 (NeurIPS, 2021)

Fast Instrument Learning with Faster Rates. - Ziyu Wang 006; Yuhao Zhou; Jun Zhu 001 (NeurIPS, 2022)

Spectral Representation Learning for Conditional Moment Models. - Ziyu Wang 006; Yucen Luo; Yueru Li; Jun Zhu 001; Bernhard Schölkopf (CoRR, 2022)

A constrained Bayesian approach to out-of-distribution prediction. - Ziyu Wang 006; Binjie Yuan; Jiaxun Lu; Bowen Ding; Yunfeng Shao 001; Qibin Wu; Jun Zhu 001 (UAI, 2023)