Browse by Committee Member

B

Batlle Franch, Pau (2025) Optimization-Based Statistical Inference: Constrained Inverse Problems, Worst-Case Priors, and Kernel Regression. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/1v1b-6612. https://resolver.caltech.edu/CaltechTHESIS:05302025-005324047

Burov, Dmitry Anatolyevich (2024) Kernel Methods for Learning About Complex Dynamical Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/zmmv-1a93. https://resolver.caltech.edu/CaltechTHESIS:06082024-115947714

E

Epperly, Ethan Nicholas (2025) Make the Most of What You Have: Resource-Efficient Randomized Algorithms for Matrix Computations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/pef3-mg80. https://resolver.caltech.edu/CaltechTHESIS:05272025-233435853

T

Trautner, Margaret Katherine (2025) Operator Learning for Scientific Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/s5p5-9j06. https://resolver.caltech.edu/CaltechTHESIS:05292025-172331972