Kyle Ritscher

Welcome!

I am a PhD student in the Department of Statistics & Data Science at University of California, Los Angeles, where I am advised by Professor Oscar Hernan Madrid Padilla. I am also a year-round Research & Development intern at Sandia National Laboratories.

Publications

Published

• Change Point Localization and Inference in Dynamic Multilayer Networks
  F. Wang, K. Ritscher, Y.L. Kei, X. Ma, O.H. Madrid Padilla.
  To appear in International Conference on Learning Representations (ICLR), 2026. [PDF]
• Quantile Additive Trend Filtering
  Z. Zhang, K. Ritscher, O.H. Madrid Padilla.
  Proceedings of The 28th International Conference on Artificial Intelligence and Statistics (AISTATS), 2025. [PDF]

Preprints

• Flex-Act: Why Learn when you can Pick?
  R. Kumar, K. Ritscher, J. Zhu, L. Liu, C.J. Hsieh.
  Under Review. [PDF]

Technical Reports

• Model-form Error Correction using Universal Differential Equations for an Agent-Based Model of Infectious Disease
  K. Nguyen, K. Ritscher, J. Ray, E. C. S. Acquesta.
  Sandia Report, 2024. doi:10.2172/2516863