1. Advances in Bayesian inference and stable optimization for large-scale machine learning problems Fagan, Francois Johannes 2019 Theses Operations researchMachine learningMathematical optimizationIndustrial engineering
2. A Family of Latent Variable Convex Relaxations for IBM Model 2 Simion, Andrei 2015 Theses Translating machinesOperations researchMachine translatingComputer scienceArtificial intelligence
3. A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence Zhou, Chaoxu 2020 Theses Operations researchMathematical optimization--Computer programsComputer algorithmsStochastic processes--Computer programsMonte Carlo method
4. Algorithms for Matching Problems Under Data Accessibility Constraints Hanguir, Oussama 2022 Theses Operations researchCombinatorial optimizationRidesharing--Mathematical modelsInternet advertisingInternet gamesMatching theoryHypergraphs
5. Algorithms for Sparse and Low-Rank Optimization: Convergence, Complexity and Applications Ma, Shiqian 2011 Theses Operations researchMathematical optimization
6. Approximate dynamic programming for large scale systems Desai, Vijay V. 2012 Theses Operations researchMathematics
7. Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling Qiu, Zhen 2016 Theses Approximation algorithmsMathematical optimizationSchedulingOperations research
8. A Robust Queueing Network Analyzer Based on Indices of Dispersion You, Wei 2019 Theses Operations researchQueuing networks (Data transmission)Industrial engineeringAlgorithms
9. A Simulation Model to Analyze the Impact of Golf Skills and a Scenario-based Approach to Options Portfolio Optimization Ko, Soonmin 2012 Theses EngineeringOperations research
10. Assortment Planning From A Large Universe Goutam, Kumar 2020 Theses Operations researchIndustrial engineeringBrand choice--Mathematical modelsConsumers' preferences--Mathematical models