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2. Queues, Planes and Games: Algorithms for Scheduling Passengers, and Decision Making in Stackelberg Games
3. Rare-Event Estimation and Calibration for Large-Scale Stochastic Simulation Models
4. Topics in Deep Learning and Data-driven Optimization
5. Algorithms for Matching Problems Under Data Accessibility Constraints
6. Essays on Discrete Optimization: Optimal Stopping and Popular Matchings
7. Essays on Network Theory: Diffusion, Link Analysis, and Hypergraph Learning
8. Essays on Online Learning and Resource Allocation
9. Essays on Skills-Based Routing
10. Extremal Queueing Theory
11. Incremental Packing Problems: Algorithms and Polyhedra
12. Innovative derivative pricing and time series simulation techniques via machine and deep learning
13. Mean field games with heterogeneous players: From portfolio optimization to network effects
14. On the Misclassification Cost Problem and Dynamic Resource Allocation Models for EMS
15. Optimization and learning in dynamic environments: models and algorithms
16. Permissioned Blockchain Adoption in Supply Chains
17. Revenue Management in Video Games and with Fairness
18. Two-Sided Matching Markets: Models, Structures, and Algorithms
19. Using Second-Order Information in Training Deep Neural Networks
20. Learning to Optimize Decisions in Online Service Platforms
21. Reinforcement Learning: New Algorithms and An Application for Integer Programming
22. Robust and Interpretable Sequential Decision-Making for Healthcare
23. Stochastic Methods in Optimization and Machine Learning
24. Supply Chain and Service Operations with Demand-Side Flexibility
25. Topics in Simulation: Random Graphs and Emergency Medical Services
26. Variable Clustering Methods and Applications in Portfolio Selection
27. A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence
28. Assortment Planning From A Large Universe
29. Continuous-Time and Distributionally Robust Mean-Variance Models
30. Convex Optimization and Extensions, with a View Toward Large-Scale Problems
31. Discrete Optimization Problems in Popular Matchings and Scheduling
32. Essays in Networked Markets and Financial Technology
33. Exact simulation algorithms with applications in queueing theory and extreme value analysis
34. Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System
35. New Algorithms and Analysis Techniques for Reinforcement Learning
36. New Analytics Paradigms in Online Advertising and Fantasy Sports
37. Optimization Foundations of Reinforcement Learning
38. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts
39. Submodular Secretary Problem with Shortlists under General Constraints
40. Tractable Policies in Dynamic Robust Optimization
41. Training Decision Trees for Optimal Decision-Making
42. Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency
43. Advances in Bayesian inference and stable optimization for large-scale machine learning problems
44. A Robust Queueing Network Analyzer Based on Indices of Dispersion
45. Data-Driven Combinatorial Optimization and Efficient Machine Learning Frameworks
46. Dynamic Pricing and Demand Shaping: Theory and Applications in Online Assortments, Ride Sharing and Smart Grids
47. Efficient Simulation and Performance Stabilization for Time-Varying Single-Server Queues
48. Essays in Basketball Analytics
49. Essays in information relaxations and scenario analysis for partially observable settings
50. Periodic Little's law
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