1. Abstractions for Probabilistic Programming to Support Model Development Bernstein, Ryan 2023 Theses Computer scienceStatisticsArtificial intelligenceProbabilities--Mathematical modelsComputer simulation
2. Toward Annotation Efficiency in Biased Learning Settings for Natural Language Processing Effland, Thomas 2023 Theses Computer scienceStatisticsNatural language processing (Computer science)Artificial intelligenceGrammar, Comparative and general--Syntax
3. A Computational Perspective of Causal Inference and the Data Fusion Problem Correa, Juan David 2021 Theses Artificial intelligenceComputer scienceStochastic control theory--Statistical methodsStatisticsMachine learning
4. Beyond summary statistics: extracting etiological insights from genome-wide association cohorts Yuan, Jie 2021 Theses Computer scienceGeneticsStatisticsSchizophreniaHuman genome--ResearchSchizophrenia--Etiology
5. Deconvolution Problems for Structured Sparse Signal Kuo, Han-wen 2021 Theses Electrical engineeringComputer scienceStatisticsAlgorithms
6. Variational Bayesian Methods for Inferring Spatial Statistics and Nonlinear Dynamics Moretti, Antonio Khalil 2021 Theses Computer scienceStatisticsBayesian statistical decision theorySpatial analysis (Statistics)
7. A Geometric Approach to Dynamical System: Global Analysis for Non-Convex Optimization Xu, Ji 2020 Theses Computer scienceStatisticsMathematicsAlgorithms--EvaluationComputer algorithms
8. Deep Probabilistic Graphical Modeling Dieng, Adji Bousso 2020 Theses StatisticsComputer scienceGraphical modeling (Statistics)Probabilities--Data processingMachine learning
9. Generative Modeling and Inference in Directed and Undirected Neural Networks Stinson, Patrick 2020 Theses StatisticsComputer scienceNeural networks (Computer science)Distribution (Probability theory)Distribution (Probability theory)--Mathematical models
10. Machine Learning Methods for Causal Inference with Observational Biomedical Data Averitt, Amelia Jean 2020 Theses Medical sciencesComputer scienceStatisticsMedicine--ResearchInferenceClinical trials--Statistical methods
11. Optimization Foundations of Reinforcement Learning Bhandari, Jalaj 2020 Theses Operations researchComputer scienceStatisticsMachine learning--Statistical methodsReinforcement learning
12. Modern Statistical/Machine Learning Techniques for Bio/Neuro-imaging Applications Sun, Ruoxi 2019 Theses BiometryStatisticsComputer scienceImaging systems in biologyBayesian statistical decision theory
13. The MNL-Bandit Problem: Theory and Applications Avadhanula, Vashist 2019 Theses Operations researchComputer scienceStatisticsRevenue managementConsumer behavior
14. Varying-Coefficient Models and Functional Data Analyses for Dynamic Networks and Wearable Device Data Lee, Jihui 2018 Theses BiometryStatisticsNetwork analysis (Planning)Wearable technologyComputer science
15. Property Testing and Probability Distributions: New Techniques, New Models, and New Goals Canonne, Clement Louis 2017 Theses Computer scienceStatisticsDistribution (Probability theory)Algorithms
16. Single Channel auditory source separation with neural network Chen, Zhuo 2017 Theses Computer scienceStatisticsNeural networks (Computer science)Source separation (Signal processing)
17. Structured Tensor Recovery and Decomposition Mu, Cun 2017 Theses Operations researchComputer scienceStatisticsCalculus of tensors
18. Population Genetics of Identity By Descent Palamara, Pier Francesco 2014 Theses GeneticsComputer scienceStatistics
20. Optimization Algorithms for Structured Machine Learning and Image Processing Problems Qin, Zhiwei 2013 Theses Operations researchComputer scienceStatistics