Items where Option is "Computing and Mathematical Sciences"

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

Chen, Xiaoqiao (2025) Active Acquisition Methods for Single Cell Genomics. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/nsn8-nd79. https://resolver.caltech.edu/CaltechTHESIS:07052024-170119371

Christianson, Nicolas Henry (2025) Machine Learning-Augmented Algorithms: Theory and Applications in Energy and Sustainability. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/nyn2-q614. https://resolver.caltech.edu/CaltechTHESIS:06022025-224128103

Li, Zongyi (2025) Neural Operator for Scientific Computing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/fz9s-fq86. https://resolver.caltech.edu/CaltechTHESIS:06032025-033640769

Lin, Yiheng (2025) Predictions and Policy Optimization in Online Decision Making. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/37t0-7n77. https://resolver.caltech.edu/CaltechTHESIS:05292025-064811885

Slote, Joseph Alfred (2025) Discrete Harmonic Analysis and its Applications to Testing, Learning, and Complexity. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/grjv-rz74. https://resolver.caltech.edu/CaltechTHESIS:06082025-235351698

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

Zhao, Jiawei (2025) Understanding and Improving Efficiency in Training of Deep Neural Networks. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/jgq8-et91. https://resolver.caltech.edu/CaltechTHESIS:02122025-201948305

2024

Huang, Hsin-Yuan (Robert) (2024) Learning in the Quantum Universe. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/fgpv-3112. https://resolver.caltech.edu/CaltechTHESIS:05032024-044352582

Mazaheri, Bijan Henrik Socrates (2024) Combining Sources and Leveraging Contexts. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/7t4d-xg91. https://resolver.caltech.edu/CaltechTHESIS:06042024-004345614

Sun, Jennifer Jianing (2024) AI for Scientists: Accelerating Discovery Through Knowledge, Data, and Learning. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/d6y8-4590. https://resolver.caltech.edu/CaltechTHESIS:11162023-054627670

Voloshin, Cameron (2024) Guaranteed Policy Performance in Reinforcement Learning. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/n2fg-e554. https://resolver.caltech.edu/CaltechTHESIS:06062024-061120491

2023

Beery, Sara Meghan (2023) Where the Wild Things Are: Computer Vision for Global-Scale Biodiversity Monitoring. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/m4mt-2q51. https://resolver.caltech.edu/CaltechTHESIS:04242022-005200355

Cole, Elijah Henry John (2023) Visual and Spatial Representation Learning with Applications in Ecology. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/xp2k-es46. https://resolver.caltech.edu/CaltechTHESIS:06072023-210232983

Dorobantu, Victor David (2023) Geometry and Dynamical Systems in Machine Learning and Control. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/x271-r088. https://resolver.caltech.edu/CaltechTHESIS:06012023-194820518

Eldjarn Hjoerleifsson, Kristjan (2023) Graph Modeling for Genomics and Epidemiology. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/s32c-a211. https://resolver.caltech.edu/CaltechTHESIS:02122023-103759689

Levine, Matthew Emanuel (2023) Machine Learning and Data Assimilation for Blending Incomplete Models and Noisy Data. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/b82h-ye78. https://resolver.caltech.edu/CaltechTHESIS:06012023-213052258

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

Werner, Lucien Desloge (2023) Uncertainty and Decentralization: Two Themes in an Energy Transformation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/scmm-p028. https://resolver.caltech.edu/CaltechTHESIS:06122023-232029846

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