Number of items: 4.
2025
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
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
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
2024
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
This list was generated on Sat Jun 21 11:02:45 2025 UTC.
