Browse by Committee Member

A

Abbasi, Ehsan (2020) Universality Laws and Performance Analysis of the Generalized Linear Models. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/873c-ej41. https://resolver.caltech.edu/CaltechTHESIS:06092020-005908250

Ahn, Hyoung Jun (2014) Random Propagation in Complex Systems: Nonlinear Matrix Recursions and Epidemic Spread. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/MC7M-EE22. https://resolver.caltech.edu/CaltechTHESIS:05232014-172754261

B

Bernstein, Jeremy David (2023) Optimisation & Generalisation in Networks of Neurons. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/1jz8-5t85. https://resolver.caltech.edu/CaltechTHESIS:10132022-000100592

Bruer, John Jacob (2017) Recovering Structured Low-rank Operators Using Nuclear Norms. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9F18WQS. https://resolver.caltech.edu/CaltechTHESIS:02082017-062956314

Becker, Stephen R. (2011) Practical Compressed Sensing: Modern Data Acquisition and Signal Processing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/DC16-K322. https://resolver.caltech.edu/CaltechTHESIS:06022011-152525054

C

Chen, Yuhua Richard (2017) Concentration Inequalities of Random Matrices and Solving Ptychography with a Convex Relaxation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9M906MF. https://resolver.caltech.edu/CaltechTHESIS:09022016-135721172

D

Douik, Ahmed (2020) Riemannian Optimization for Convex and Non-Convex Signal Processing and Machine Learning Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/jt3c-0m30. https://resolver.caltech.edu/CaltechTHESIS:06012020-120425051

F

Faulkner, Matthew Nicholas (2014) Community Sense and Response Systems. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/QFM5-FH06. https://resolver.caltech.edu/CaltechTHESIS:04152014-111007328

G

Gittens, Alex A. (2013) Topics in Randomized Numerical Linear Algebra. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/3K1S-R458. https://resolver.caltech.edu/CaltechTHESIS:06102013-100609092

H

Horstmeyer, Roarke William (2016) Computational Microscopy: Turning Megapixels into Gigapixels. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z95Q4T1W. https://resolver.caltech.edu/CaltechTHESIS:10202015-173005082

J

Jaganathan, Kishore (2016) Convex Programming-Based Phase Retrieval: Theory and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9C82775. https://resolver.caltech.edu/CaltechTHESIS:05312016-051759406

K

Khajehnejad, M. Amin (2012) Combinatorial Regression and Improved Basis Pursuit for Sparse Estimation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/04J6-Y832. https://resolver.caltech.edu/CaltechTHESIS:06072012-001523622

M

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

McCoy, Michael Brian (2013) A Geometric Analysis of Convex Demixing. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/156S-EZ89. https://resolver.caltech.edu/CaltechTHESIS:05202013-091317123

O

Oymak, Samet (2015) Convex Relaxation for Low-Dimensional Representation: Phase Transitions and Limitations. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9S46PWX. https://resolver.caltech.edu/CaltechTHESIS:08182014-091546460

P

Plan, Yaniv (2011) Compressed Sensing, Sparse Approximation, and Low-Rank Matrix Estimation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/K8W9-RS71. https://resolver.caltech.edu/CaltechTHESIS:02272011-233144146

S

Schäfer, Florian Tobias (2021) Inference, Computation, and Games. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/esyv-2181. https://resolver.caltech.edu/CaltechTHESIS:06082021-005706263

Soh, Yong Sheng (2019) Fitting Convex Sets to Data: Algorithms and Applications. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/jkmq-b430. https://resolver.caltech.edu/CaltechTHESIS:09282018-091842941

Shankar, Krishna (2016) Kinematics and Local Motion Planning for Quasi-static Whole-body Mobile Manipulation. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z9KK98RX. https://resolver.caltech.edu/CaltechTHESIS:05222016-095145651

Stobbe, Peter (2013) Convex Analysis for Minimizing and Learning Submodular Set Functions. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/1A1J-SA64. https://resolver.caltech.edu/CaltechTHESIS:05312013-151014984

Sweatlock, Sarah Lynne (2008) Asymptotic Weight Analysis of Low-Density Parity Check (LDPC) Code Ensembles. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/86BY-MA30. https://resolver.caltech.edu/CaltechETD:etd-05202008-094714

T

Thrampoulidis, Christos (2016) Recovering Structured Signals in High Dimensions via Non-Smooth Convex Optimization: Precise Performance Analysis. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Z998850V. https://resolver.caltech.edu/CaltechTHESIS:06032016-144604076

V

Vakili, Ali (2011) Random Matrix Recursions in Estimation, Control, and Adaptive Filtering. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/HCKN-7W53. https://resolver.caltech.edu/CaltechTHESIS:06022011-214438378

Vyetrenko, Svitlana S. (2011) Network Coding for Error Correction. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/D2ZM-V541. https://resolver.caltech.edu/CaltechTHESIS:06032011-153909265

X

Xu, Weiyu (2010) Compressive Sensing for Sparse Approximations: Constructions, Algorithms, and Analysis. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/F63K-GT12. https://resolver.caltech.edu/CaltechTHESIS:10262009-081233260

Y

Yoo, Juhwan (2012) Compressed Sensing Receivers: Theory, Design, and Performance Limits. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/Y3FA-VB87. https://resolver.caltech.edu/CaltechTHESIS:06122012-144158047

Z

Zhang, Ziyun (2023) Low-Rank Matrix Recovery: Manifold Geometry and Global Convergence. Dissertation (Ph.D.), California Institute of Technology. doi:10.7907/hd6q-g460. https://resolver.caltech.edu/CaltechTHESIS:05302023-222447373