- Carlos-Misael Madrid-Padilla, H. Xu, D. Wang, O.H. Madrid-Padilla, Y. Yu. Change point detection and inference in multivariable nonparametric models under mixing conditions. NeurIPS 2023.
- Carlos-Misael Madrid-Padilla, Daren Wang, Zifeng Zhao, Yi Yu. Change-point detection for sparse and dense functional data in general dimensions. NeurIPS 2022.
- Alexandrou Himonas, Carlos-Misael Madrid-Padilla, Fangchi Yan (alphabetical order). The Neumann and Robin problems for the Korteweg-de Vries equation on the half-line. Journal of Mathematical Physics, 62, 111503, 2021. (selected as Editors’ Pick)
- Preprints:
- Carlos-Misael Madrid-Padilla, Oscar Hernan Madrid-Padilla, Daren Wang. Temporal-spatial model via Trend Filtering. Under Review. 2024.
- Zhi Zhang, Carlos-Misael Madrid-Padilla, Oscar Hernan Madrid-Padilla, Xiaokai Luo, Daren Wang. Dense ReLU Neural Networks for Temporal-spatial Mode. Under Review. 2025.
- H. Xu, Carlos-Misael Madrid-Padilla, O.H. Madrid-Padilla, D. Wang. Multivariate Poisson intensity estimation via low-rank tensor decomposition. Under Review. 2024.
- Carlos-Misael Madrid-Padilla, Oscar Hernan Madrid Padilla, Yik Lun Kei, Zhi Zhang, Yanzhen Chen. Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks. Under Review. 2025.
- Carlos-Misael Madrid-Padilla, Shitao Fan and Lizhen Lin. Robust and Scalable Variational Bayes. Under review. 2025.
- Carlos-Misael Madrid-Padilla, Oscar Hernan Madrid Padilla, and Sabyasachi Chatterjee. Risk Bounds For Distributional Regression. Under review. 2025.
Research Experience
- Tenure-track Assistant Professor in the Department of Statistics and Data Science at Washington University in St. Louis
Education
- Ph.D. in Mathematics, Department of Mathematics at the University of Notre Dame, Advisor: Dr. Daren Wang
- Master's degree in Mathematics, Department of Mathematics at the University of Notre Dame, Advisor: Dr. Alex Himonas
- B.S. in Mathematics, CIMAT (Mexico), Advisors: Dr. Víctor M. Pérez Abreu C. and Dr. Mario Diaz
Background
- Research Interests: High-dimensional statistics, Nonparametric statistics, Change point detection, Causal inference, Bayes methodology
- Professional Field: Statistics and Data Science
- Brief Introduction: Tenure-track Assistant Professor in the Department of Statistics and Data Science at Washington University in St. Louis