1. Distributionally Robust Optimization and its Applications in Machine Learning Kang, Yang 2017 Theses StatisticsRobust optimizationMachine learningMathematical optimization
2. Flexible Sparse Learning of Feature Subspaces Ma, Yuting 2017 Theses Mathematical statisticsMachine learning--Statistical methodsMachine learningStatistics
3. Statistical Machine Learning Methods for the Large Scale Analysis of Neural Data Mena, Gonzalo Esteban 2018 Theses StatisticsMachine learningNeural circuitry--Data processingNeurotechnology (Bioengineering)
4. Advances in Deep Generative Modeling With Applications to Image Generation and Neuroscience Loaiza Ganem, Gabriel 2019 Theses StatisticsMachine learningComputer simulationNeurosciences--Data processingNeural networks (Computer science)Digital images
5. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningGraphsSocial networksAlgorithms--Evaluation
6. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Probabilities--Data processingMachine learning