2020 to 2024 M.S. Theses

Exploring the Use of Experimental Design Techniques for Hyperparameter Optimization in Convolutional Neural Networks

Ashley Chiu; MS, 2021

Accounting for Omitted Variable Bias in Hierarchical Linear Models with Group-Varying Treatment Assignment Processes

Thomas Abram Jacobson; MS, 2023

Applications of Large Language Models in Education : Literature Review and Case Study

John DuChateau Baierl; MS, 2023

Balance Tests as a Learning Problem: Assessing 3,000 Lotteries with Machine Learning

Fernando Barros de Mello; MS, 2023

Balance Tests as a Learning Problem: Assessing 3,000 Lotteries with Machine Learning

Fernando Barros de Mello; MS, 2023

Causal Inference and Large Language Models from the Causal Invariance Framework

Emily Frances Wong; MS, 2023

Dynamic Matching Market with Agent-Dependent Compatible Probabilities

Lan Tao; MS, 2023

Estimating Privacy Leakage of Machine Learning Models

Ryan O'Dell; MS, 2023

Estimation of Wildfire Ignition Conditional Intensity Parameters Via the Stoyan-Grabarnik Statistic

Abigaill Bernice Coelho; MS, 2023

Imagined We: Understanding and Bridging the Gap Between Human Cooperation and Multi-agent Reinforcement Learning

Minglu Zhao; MS, 2023

Privacy Auditing of Tabular Synthetic Data Generators Using Membership Inference Attacks

Nicklaus Kim; MS, 2023

Relative Distributions and Their Connection to Optimal Transport

Hector Escandon Vanegas; MS, 2023

Social Network Analysis of the 2022-2023 Spurs

Pedro Eduardo De La Cueva; MS, 2023

Supervised Classification of Political Text with Topic Models

Derek Edward Holliday; MS, 2023

The Impact of Synthetic and Real Training Data on Model Vulnerability

Jacob Michael Swoveland; MS, 2023

The Relative Density and Applications to Bayesian Analysis

Haibo Fan; MS, 2023

Amortized Inference in Latent Space Energy-Based Prior Model

Xufan Zhai; MS, 2022

An Awareness Model for a Two-sided Matching Market

Xinyuan Zhang; MS, 2022

Applications of Generative Modeling for Recommender Systems

Ryan H Cheong; MS, 2022

Capturing hidden covariates with linear factor models and other statistical methods in differential gene expression and expression quantitative trait locus studies

Heather J Zhou; MS, 2022

Efficient Learning of Continuous-Time Hidden Markov Models with Discrete-Time Irregular Observations for Healthcare Intervention Planning

Saeed Ghodsi; MS, 2022

Equivalence of Kernel Methods and Linear Models in High Dimensions

Mojtaba Sahraee Ardakan; MS, 2022

Evaluating One-day Earthquake Forecast Models Using Numerical Tests and Residual Analysis Methods

Zhe Zhang; MS, 2022

Evaluating the effectiveness of ground motion intensity measures for structural response simulation using statistical and causal inferencing

Henry Burton; MS, 2022

Planned Missing Designs and Diagnostic Classification Models

Yon Soo Suh; MS, 2022

Sentiment Analysis of the Undergraduate STEM Community at UCLA Using the Bruinwalk Course Reviews

Kaixin Wang; MS, 2022

The Effectiveness of Copulas for Modeling Compound Climate Extreme Events in Boulder County, Colorado

Surabhi Agrawal; MS, 2022

The Racial Frontier: Biracials, Machine Learning, and the Future of Racial Group Boundaries

Gregory John Leslie; MS, 2022

A Commentary on the Robustness of the Willingness of US Adults to Receive a COVID-19 Vaccine Based on Republican Party Identification

Brandon Fu Thoma; MS, 2021

An Analysis of Community Detection Methods in Multi-layer Networks

Jiaming Guo; MS, 2021

An Application of a Structured Mixture Rasch Model to Computer Adaptive Data: An Example in Early Kindergarten Geometry

Meredith Langi; MS, 2021

Graph-based Recommender System using Reinforcement Learning

Diana L Zhang; MS, 2021

Learning Energy-Based Prior Model for Unsupervised Meta-Learning

Deqian Kong; MS, 2021

Learning convolutional latent space energy-based prior model

Dehong Xu; MS, 2021

Modern Applications of Cross-classified Multilevel Models (CCMMs) in Social and Behavioral Research: Illustrations with R Package PLmixed

Sijia Huang; MS, 2021

Multitype Point Process Analysis of Signaling Proteins in the Signaling Complexes of T cells

Juan Piao; MS, 2021

Non-asymptotic Analysis of Learning Long-range Autoregressive Generalized Linear Models for Discrete High-dimensional Data

Parthe Pandit; MS, 2021

State Law and Illegal Immigrants: A Study of Confounding of the Effects ofArizona SB 1070 Policy

Andrew Chang; MS, 2021

Statistical Methods to Predict Earthquake Damage to Buildings

Henan Mao; MS, 2021

Suicide and Copycat Behavior: An Analysis with Hawkes Process of England and Wales Suicide Data

Sixuan Li; MS, 2021

Unsupervised Classification and Network Analysis of the Reddit Communities with Spiking Neural Network and Exponential-Family Random Graph Model

Jie He; MS, 2021

Vox Populism: Analysis of the Anti-Elite Content of Presidential Candidates’ Speeches

Caleb Ziolkowski; MS, 2021

A Correlation Thresholding Algorithm for Learning Factor Analysis Models

Dale Kim; MS, 2020

Bitcoin Price Forecast Using LSTM and GRU Recurrent networks, and Hidden Markov Model

Yike Xu; MS, 2020

California Rental Price Prediction Using Machine Learning Algorithms

Yue Fei; MS, 2020

Comparison of different hierarchical Dirichlet process implementations

Peichen Wu; MS, 2020

Computer Vision to Analyze Protests in Social Media

Alexandar Chan; MS, 2020

Detecting Coronavirus Disease 2019 Pneumonia in Chest X-Ray Images Using Deep Learning

Ziqi Zhu; MS, 2020

Estimating Mean and Covariance Structure with Reweighted Least Squares

Bang Quan Zheng; MS, 2020

Evaluating the Short-Term Impact of Gang Prevention Services on a Sample of Los Angeles Youth using Local Randomization Regression Discontinuity Design

Georgina Garcia-Obledo; MS, 2020

Geo-spatial Learning and Modeling for Seismic Site Responses in Los Angeles County

Pengfei Wang; MS,2020

Interpreting Nonlinear Black-box Models Globally: A Comparative Study of Different Techniques

Yingqi Li; MS, 2020

Measuring International Relations using Latent Network Approach

Natalia Lamberova; MS, 2020

Methods of Simulating Networks from Exponential Random Graph Models

Suoyi Yang; MS, 2020

Neyman-Pearson Classification for Credit Card Fraud Detection

Lu Xu; MS, 2020

Predicting Film Ratings using Collaborative Filtering and Deep Learning

Annie Jiali Zhang; MS, 2020

Predicting and Characterizing Early Growth of YouTube Videos

Ritvik Kharkar; MS, 2020

SMOTE Variants for Imbalanced Binary Classification: Heart Disease Prediction

Xiaoru Zheng; MS, 2020

Sampling and Learning of the And-Or Graph

Ruize Zhang; MS, 2020

Seismic Response Prediction of Instrumented Pre-1971 Highway Bridges in California

Dong Wang; MS, 2020