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1.
A Randomized Approximate Nearest Neighbors Algorithm
by Osipov, Andrei, Ph.D.  Yale University. 2011: 137 pages; 3467911.
2.
Nonlocal and Randomized Methods in Sparse Signal and Image Processing
by Crandall, Robert, Ph.D.  The University of Arizona. 2018: 96 pages; 10840330.
3.
Randomized Fast Solvers for Linear and Nonlinear Problems in Data Science
by Wu, Huiwen, Ph.D.  University of California, Irvine. 2019: 151 pages; 27665431.
4.
Randomized Benchmarking of Clifford Operators
by Meier, A. M., Ph.D.  University of Colorado at Boulder. 2013: 206 pages; 3592339.
6.
Frequency control via distributed demand response in smart grid
by N., Mohammad Reza Vedady Moghadam, Ph.D.  National University of Singapore (Singapore). 2015: 161 pages; 10006094.
7.
Multilevel Analysis Methods for Partially Nested Cluster Randomized Trials
by Sanders, Elizabeth A., Ph.D.  University of Washington. 2011: 83 pages; 3452760.
9.
Scalable learning of actions from unlabeled videos
by O'Hara, Stephen, Ph.D.  Colorado State University. 2013: 127 pages; 3565542.
10.
Synthesizing Realistic Social Networks Using Personality Compatibility
by O'Neil, Daniel Anthony, Ph.D.  The University of Alabama in Huntsville. 2019: 297 pages; 22616498.
12.
Gadgets and Gaussians in Lattice-Based Cryptography
by Genise, Nicholas James, Ph.D.  University of California, San Diego. 2019: 113 pages; 13857523.
13.
An Imputation-Estimation Algorithm Using Time-Varying Auxiliary Covariates for a Longitudinal Model When Outcome is Missing by Design
by Temprosa, Marinella Gracia Montealegre, Ph.D.  The George Washington University. 2012: 128 pages; 3524075.
14.
Analytical Methods for Structured Matrix Computations
by Ye, Xin, Ph.D.  Purdue University. 2018: 146 pages; 10843113.
16.
Randomness, learnability, and betting games
by Harkins, Ryan C., Ph.D.  University of Wyoming. 2012: 143 pages; 3512210.
17.
Simplifying algorithm learning using serious games
by Shabanah, Sahar Siraj, Ph.D.  George Mason University. 2010: 240 pages; 3407063.
19.
Incrementally Sorted Lattice Data Structures
by Obiedat, Mohammad, Ph.D.  The George Washington University. 2015: 125 pages; 3732474.
20.
Political ground truth: How personal issue experience counters partisan biases
by Strauss, Aaron B., Ph.D.  Princeton University. 2009: 234 pages; 3377998.
21.
The second chance offer: Seller and bidder strategies
by Sun, Yu-An, Ph.D.  The George Washington University. 2009: 131 pages; 3341356.
22.
Algorithms in Elliptic Curve Cryptography
by Hutchinson, Aaron, Ph.D.  Florida Atlantic University. 2018: 148 pages; 10980188.
23.
Feature Selection by Iterative Reweighting: An Exploration of Algorithms for Linear Models and Random Forests
by Jaiantilal, Abhishek, Ph.D.  University of Colorado at Boulder. 2013: 164 pages; 3592307.
25.
Optimal resource allocation and cross-layer control in cognitive and cooperative wireless networks
by Urgaonkar, Rahul, Ph.D.  University of Southern California. 2011: 211 pages; 3466118.
26.
Statistical Analyses of "Randomly Sourced Data"
by Elkadry, Alaa, Ph.D.  Oakland University. 2017: 137 pages; 10262484.
27.
Randomization based privacy preserving categorical data analysis
by Guo, Ling, Ph.D.  The University of North Carolina at Charlotte. 2010: 127 pages; 3439261.
28.
Development, testing, and refining the failure to rescue sepsis sniffer
by Harrison, Andrew Marc, Ph.D.  College of Medicine - Mayo Clinic. 2015: 121 pages; 3702545.
29.
Associations and Confounding in High-Dimensional Genomics
by Darnell, Gregory Byer, Ph.D.  Princeton University. 2019: 169 pages; 13865166.
30.
Multiobjective Optimization and Language Equations
by Reitwießner, Christian, Ph.D.  Bayerische Julius-Maximilians-Universitaet Wuerzburg (Germany). 2012: 219 pages; 27766732.
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