publications

2026

1. TMLR

   Hamiltonian Monte Carlo for Bayesian Inference from Privatized Data

   Arin Chang, Jordan Awan, and Vinayak Rao

   In submission to Transactions on Machine Learning Research (TMLR). Preprint coming soon, 2026
2. JMLR

   Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap

   Zhanyu Wang, Arin Chang, and Jordan Awan

   Under review at Journal of Machine Learning Research (JMLR), 2026

   arXiv Bib HTML

   @article{wang2025debiased,
     title = {Optimal Debiased Inference on Privatized Data via Indirect Estimation and Parametric Bootstrap},
     author = {Wang, Zhanyu and Chang, Arin and Awan, Jordan},
     journal = {Under review at Journal of Machine Learning Research (JMLR)},
     year = {2026},
   }

2023

1. ICML

   

   A Three-regime Model of Network Pruning

   Yefan Zhou, Yaoqing Yang, Arin Chang, and 1 more author

   In International Conference on Machine Learning (ICML), 2023

   arXiv Bib HTML

   @inproceedings{zhou2023three,
     title = {A Three-regime Model of Network Pruning},
     author = {Zhou, Yefan and Yang, Yaoqing and Chang, Arin and Mahoney, Michael W.},
     booktitle = {International Conference on Machine Learning (ICML)},
     year = {2023},
   }