1. A Computational Perspective of Causal Inference and the Data Fusion Problem Correa, Juan David 2021 Theses Artificial intelligenceComputer scienceStochastic control theory--Statistical methodsStatisticsMachine learning
2. Adaptive and Effective Fuzzing: a Data-Driven Approach She, Dongdong 2023 Theses Computer scienceComputer security--Computer programsMalware (Computer software)Machine learningGoogle (Firm)Microsoft Corporation
3. Advances in Bayesian inference and stable optimization for large-scale machine learning problems Fagan, Francois Johannes 2019 Theses Operations researchMachine learningMathematical optimizationIndustrial engineering
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. Algorithm-Hardware Co-design for Ultra-Low-Power Machine Learning and Neuromorphic Computing Wang, Dewei 2023 Theses Electrical engineeringMachine learningNeuromorphicsArtificial intelligenceInternet of thingsNeural networks (Computer science)
6. A Mathematical Study of Learning Dynamics Keller, Rachael Tara 2021 Theses MathematicsMachine learningMachine learning--Mathematical modelsNeural networks (Computer science)Numerical analysis
7. Analysis of Conformational Continuum and Free-energy Landscapes from Manifold Embedding of Single-particle Cryo-EM Ensembles of Biomolecules Seitz, Evan Elliott 2022 Theses Molecular biologyBiomoleculesElectron microscopy—Data processingMachine learningRiemannian manifoldsGibbs' free energyPath analysis (Statistics)RibosomesCOVID-19 (Disease)--Data processing
8. Analyzing Risk Factors for Healthcare-Associated Infections Using Multiple Methodological Approaches Song, Jiyoun 2020 Theses Nosocomial infectionsSurgical wound infectionsDigestive organsInfection--PreventionPublic healthMedicine--PracticeMachine learning
9. Applications of Machine Learning to Single-Molecule Junction Studies Fu, Tianren 2021 Theses Chemistry, Physical and theoreticalMachine learningGoldMolecular electronicsScanning tunneling microscopy
10. Applying Anomaly Detection to Search for New Physics with the ATLAS Detector at the Large Hadron Collider Kahn, Alan 2022 Theses Particles (Nuclear physics)Higgs bosonsLarge Hadron Collider (France and Switzerland)Hadrons--DecayMachine learningHeavy particles (Nuclear physics)
11. A Sparse Learning Approach for Linux Kernel Data Race Prediction Ryan, Gabriel 2023 Theses Computer scienceOperating systems (Computers)Fourier analysisThreads (Computer programs)Machine learningDebugging in computer science--Computer programsLinux
12. Autogenerative Networks Chang, Oscar 2021 Theses Computer scienceArtificial intelligenceNeural networks (Computer science)Machine learning
13. Building theories of neural circuits with machine learning Bittner, Sean Robert 2021 Theses NeurosciencesMachine learningNeural circuitry--Mathematical modelsVisual cortexMotor cortexSuperior colliculusMonkeys
14. Characterizing molecular drivers of clinical outcome in pediatric acute leukemias by systems biology and machine learning Alloy, Alexandre Paul 2021 Theses BioinformaticsLeukemia--Genetic aspectsLeukemia in childrenMachine learningAcute leukemia
15. Community Detection in Social Networks: Multilayer Networks and Pairwise Covariates Huang, Sihan 2020 Theses StatisticsMachine learningGraphsSocial networksAlgorithms--Evaluation
16. Complaint Driven Training Data Debugging for Machine Learning Workflows Flokas, Lampros 2023 Theses Computer scienceMachine learningDebugging in computer science--Computer programs
17. Computational and Imaging Methods for Studying Neuronal Populations during Behavior Han, Shuting 2019 Theses BiologyNeurosciencesMachine learningBrain--ImagingNeuropsychiatryAnimal behaviorNeurons
18. Convex Optimization and Extensions, with a View Toward Large-Scale Problems Gao, Wenbo 2020 Theses Operations researchIndustrial engineeringMachine learningStochastic systemsNewton-Raphson method
19. Cryptographic approaches to security and optimization in machine learning Shi, Kevin 2020 Theses Computer scienceMathematicsMachine learningCryptographyMathematical optimization
20. Data-Driven Combinatorial Optimization and Efficient Machine Learning Frameworks Sakr, Nourhan 2019 Theses Operations researchComputer scienceMachine learningCombinatorial optimizationAlgorithms--Design