Yan Sun

MATH 644: REGRESSION ANALYSIS METHODS

MATH 678: STATISTICAL METHODS IN DATA SCIENCE

"Statistical early stopping for reasoning models"
International Conference on Machine Learning, July (3rd Quarter/Summer), 2026.

"Singleton-Optimized Conformal Prediction"
International Conference on Learning Representations, April (2nd Quarter/Spring), 2026.

"Foundations of top-$ k $ decoding for language models"
Advances in Neural Information Processing Systems, December, 2025.

"Sparse deep learning for time series data: theory and applications"
Advances in Neural Information Processing Systems, 2023.

"Nonlinear sufficient dimension reduction with a stochastic neural network"
Advances in Neural Information Processing Systems, 2022.

"Sparse deep learning: A new framework immune to local traps and miscalibration"
Advances in Neural Information Processing Systems, 2021.

"Variable selection via penalized neural network: a drop-out-one loss approach"
International Conference on Machine Learning, 2018.

Sehwan Kim, Yan Sun, Faming Liang. 2026. "Sublinearly structured deep neural networks achieve feature learning consistency for compositional functions." Statistical Learning and Data Science, pp. 100007.

Zijun Gao, Han Su, Yan Sun. 2026. "Statistical inference for generative model comparison.." Transaction on Machine Learning Research.

Jialin Mao, Itay Griniasty, Yan Sun, Mark K Transtrum, James P Sethna, Pratik Chaudhari. 2026. "Analytical characterization of sloppiness in neural networks: Insights from linear models." Physical Review E, vol. 113, no. 1, pp. 015306.

Yan Sun, Faming Liang. 2025. "Uncertainty Quantification for Large-Scale Deep Networks via Post-StoNet Modeling." Statistica Sinica.

Faming Liang, Sehwan Kim, Yan Sun. 2025. "Extended fiducial inference: toward an automated process of statistical inference." Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 87, no. 1, pp. 98--131.

Tianning Dong, Yan Sun, Faming Liang. 2024. "Deep network embedding with dimension selection." Neural networks, vol. 179, pp. 106512.

Mingxuan Zhang, Yan Sun, Faming Liang. 2024. "Magnitude Pruning of Large Pretrained Transformer Models with a Mixture Gaussian Prior." Journal of data science: JDS, pp. 10--6339.

Yan Sun, Faming Liang. 2022. "A kernel-expanded stochastic neural network." Journal of the Royal Statistical Society Series B: Statistical Methodology, vol. 84, no. 2, pp. 547--578.

Yan Sun, Qifan Song, Faming Liang. 2022. "Consistent sparse deep learning: Theory and computation." Journal of the American Statistical Association, vol. 117, no. 540, pp. 1981--1995.

Yan Sun, Qifan Song, Faming Liang. 2022. "Learning sparse deep neural networks with a spike-and-slab prior." Statistics \& probability letters, vol. 180, pp. 109246.

Qifan Song, Yan Sun, Mao Ye, Faming Liang. 2020. "Extended stochastic gradient Markov chain Monte Carlo for large-scale Bayesian variable selection." Biometrika, vol. 107, no. 4, pp. 997--1004.