Items where Option is "Computing and Mathematical Sciences"

2023

Li, Tongxin (2023) Learning-Augmented Control and Decision-Making: Theory and Applications in Smart Grids. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/cdf6-0w78. https://resolver.caltech.edu/CaltechThesis:07202022-040725024

2022

Goel, Gautam (2022) Regret-Optimal Control. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8t6d-4t53. https://resolver.caltech.edu/CaltechTHESIS:06062022-021936716

Liang, Chen (2022) Cascading Failures in Power Systems: Modeling, Characterization, and Mitigation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/8817-xy25. https://resolver.caltech.edu/CaltechTHESIS:06032022-035416994

Zhan, Eric (2022) New Algorithms for Programmatic Deep Learning with Applications to Behavior Modeling. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/5n5q-x203. https://resolver.caltech.edu/CaltechTHESIS:11302021-224628633

2021

Azizan Ruhi, Navid (2021) Large-Scale Intelligent Systems: From Network Dynamics to Optimization Algorithms. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/j494-j572. https://resolver.caltech.edu/CaltechTHESIS:11182020-210226861

Murray, Riley John (2021) Applications of Convex Analysis to Signomial and Polynomial Nonnegativity Problems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/vn9x-xj10. https://resolver.caltech.edu/CaltechTHESIS:05202021-194439071

Song, Jialin (2021) Learning to Optimize: from Theory to Practice. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7qaw-kd75. https://resolver.caltech.edu/CaltechTHESIS:06022021-223508132

Su, Yu (2021) Optimizing Cloud AI Platforms: Resource Allocation and Market Design. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/bc2t-er54. https://resolver.caltech.edu/CaltechTHESIS:06072021-172842077

2020

Coladangelo, Andrea Wei (2020) Quantum Correlations, Certifying Quantum Devices, and the Quest for Infinite Entanglement. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/VQC0-ZK80. https://resolver.caltech.edu/CaltechTHESIS:01162020-013448014

Cvitkovic, Michael William (Milan0 (2020) Deep Learning in Unconventional Domains. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/v7dm-6r52. https://resolver.caltech.edu/CaltechTHESIS:04082020-095943405

Dathathri, Sumanth (2020) Scalable Synthesis and Verification: Towards Reliable Autonomy. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/4j39-v857. https://resolver.caltech.edu/CaltechTHESIS:04292020-165136662

Le, Hoang Minh (2020) New Frameworks for Structured Policy Learning. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/rz4w-k233. https://resolver.caltech.edu/CaltechTHESIS:06092020-121556493

2019

Guo, Linqi (2019) Impact of Transmission Network Topology on Electrical Power Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/EN8K-W872. https://resolver.caltech.edu/CaltechTHESIS:05312019-191005982

Pang, John Zhen Fu (2019) Online Platforms in Networked Markets: Transparency, Anticipation and Demand Management. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/XY8M-8D94. https://resolver.caltech.edu/CaltechTHESIS:03132019-143428796

2017

Cummings, Rachel Autumn Dixon (2017) The Implications of Privacy-Aware Choice. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9057CZP. https://resolver.caltech.edu/CaltechTHESIS:03232017-160527848