## Search Results

### 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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