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