Change-point Detection for Sparse and Dense Functional Data in General Dimensions. - Carlos Misael Madrid Padilla; Daren Wang; Zifeng Zhao; Yi Yu (NeurIPS, 2022)

Change point detection and inference in multivariate non-parametric models under mixing conditions. - Carlos Misael Madrid Padilla; Haotian Xu; Daren Wang; Oscar Hernan Madrid Padilla; Yi Yu (NeurIPS, 2023)

Dense ReLU Neural Networks for Temporal-spatial Model. - Zhi Zhang 012; Carlos Misael Madrid Padilla; Xiaokai Luo; Oscar Hernan Madrid Padilla; Daren Wang (CoRR, 2024)

Confidence Interval Construction and Conditional Variance Estimation with Dense ReLU Networks. - Carlos Misael Madrid Padilla; Oscar Hernan Madrid Padilla; Yik Lun Kei; Zhi Zhang 012; Yanzhen Chen (CoRR, 2024)

Robust and Scalable Variational Bayes. - Carlos Misael Madrid Padilla; Shitao Fan; Lizhen Lin (CoRR, 2025)

Risk Bounds For Distributional Regression. - Carlos Misael Madrid Padilla; Oscar Hernan Madrid Padilla; Sabyasachi Chatterjee (CoRR, 2025)