Publications

Published Papers

  • Simultaneous Inference for Covariance and Precision Matrices of Long-Range Dependent Time Series
    Percy S. Zhai, Mladen Kolar, and Wei Biao Wu (2026)
    IEEE Transactions on Information Theory, 72(6): 4246–4296
    Paper | arXiv

  • High-dimensional Gaussian Graphical Model Testing for Long-Memory Time Series
    Percy S. Zhai, Ping-Shou Zhong, and Wei Biao Wu (2026)
    Accepted to the 40th Annual Conference on Neural Information Processing Systems (NeurIPS)
    arXiv

  • Conditional Flow Matching for Bayesian Posterior Inference
    Percy S. Zhai*, Sowon Jeong*, and Veronika Ročková (2026)
    The 29th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 300: 2044–2052
    Paper | arXiv | Code

  • Deep Generative Quantile Bayes
    Jungeum Kim, Percy S. Zhai, and Veronika Ročková (2025)
    The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), PMLR 258: 4141–4149
    Paper | arXiv | Code

  • High-dimensional Functional Graphical Model Structure Learning via Neighborhood Selection Approach
    Boxin Zhao, Percy S. Zhai, Y. Samuel Wang, and Mladen Kolar (2024)
    Electronic Journal of Statistics, 18(1): 1042–1129
    Paper | arXiv | Code

* Equal contribution.

Working Papers and Preprints

  • Horseshoe Predictive Inference
    Percy S. Zhai and Veronika Ročková (2026)
    Under review at Journal of the American Statistical Association, Theory and Methods
    arXiv

  • Valid and Efficient Split Conformal Regression for Time Series
    Percy S. Zhai, Maggie Cheng, and Wei Biao Wu (2026)
    Submitted
    arXiv

  • Conformal Coverage of Time Series: Validity and Inference
    Percy S. Zhai, Maggie Cheng, and Wei Biao Wu (2026)
    Submitted
    arXiv

  • Testing Demographic Parity Gap on Precision Graphs for Sub-Exponential Time Series
    Percy S. Zhai, Mladen Kolar, and Wei Biao Wu (2026)
    Submitted

  • Two-way Guidance: Simultaneous Learning of Summary Statistics for Generative Bayes
    Percy S. Zhai, Max Pachman, Peverel Shipley, and Jungeum Kim (2026)
    Submitted

  • Possibilistic Radial Transport for Approximate IM Inference with Hypothesis Comparison and Selection
    Jungeum Kim and Percy S. Zhai (2026)

  • Effects of Dropout Regularization on Memorization in Diffusion Models
    Percy S. Zhai, Molei Tao, and Jiaqi Li (2026)