## Search Results

### 2. Efficient Methods for Large-Scale Dynamic Optimization with Applications to Inventory Management Problems

### 3. Queues, Planes and Games: Algorithms for Scheduling Passengers, and Decision Making in Stackelberg Games

### 4. Rare-Event Estimation and Calibration for Large-Scale Stochastic Simulation Models

### 5. Topics in Deep Learning and Data-driven Optimization

### 6. Topics in large-scale limits of interacting systems: games with common noise, quantitative propagation of chaos and networks.

### 7. Algorithms for Matching Problems Under Data Accessibility Constraints

### 8. Essays on Discrete Optimization: Optimal Stopping and Popular Matchings

### 9. Essays on Network Theory: Diffusion, Link Analysis, and Hypergraph Learning

### 10. Essays on Online Learning and Resource Allocation

### 11. Essays on Skills-Based Routing

### 12. Extremal Queueing Theory

### 13. Incremental Packing Problems: Algorithms and Polyhedra

### 14. Innovative derivative pricing and time series simulation techniques via machine and deep learning

### 15. Mean field games with heterogeneous players: From portfolio optimization to network effects

### 16. New Optimization Models and Methods for Classical, Infinite-Dimensional, and Online Fisher Markets

### 17. On the Misclassification Cost Problem and Dynamic Resource Allocation Models for EMS

### 18. Optimization and learning in dynamic environments: models and algorithms

### 19. Optimization under Uncertainty with Applications in Data-driven Stochastic Simulation and Rare-event Estimation

### 20. Permissioned Blockchain Adoption in Supply Chains

### 21. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning

### 22. Revenue Management in Video Games and with Fairness

### 23. Two-Sided Matching Markets: Models, Structures, and Algorithms

### 24. Using Second-Order Information in Training Deep Neural Networks

### 25. Learning to Optimize Decisions in Online Service Platforms

### 26. Me, Myself and I: time-inconsistent stochastic control, contract theory and backward stochastic Volterra integral equations

### 27. Reinforcement Learning: New Algorithms and An Application for Integer Programming

### 28. Robust and Interpretable Sequential Decision-Making for Healthcare

### 29. Stochastic Methods in Optimization and Machine Learning

### 30. Supply Chain and Service Operations with Demand-Side Flexibility

### 31. Topics in Simulation: Random Graphs and Emergency Medical Services

### 32. Variable Clustering Methods and Applications in Portfolio Selection

### 33. A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence

### 34. Assortment Planning From A Large Universe

### 35. Continuous-Time and Distributionally Robust Mean-Variance Models

### 36. Convex Optimization and Extensions, with a View Toward Large-Scale Problems

### 37. Discrete Optimization Problems in Popular Matchings and Scheduling

### 38. Essays in Networked Markets and Financial Technology

### 39. Exact simulation algorithms with applications in queueing theory and extreme value analysis

### 40. Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System

### 41. New Algorithms and Analysis Techniques for Reinforcement Learning

### 42. New Analytics Paradigms in Online Advertising and Fantasy Sports

### 43. Optimization and revenue management in complex networks

### 44. Optimization Foundations of Reinforcement Learning

### 45. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts

### 46. Submodular Secretary Problem with Shortlists under General Constraints

### 47. Tractable Policies in Dynamic Robust Optimization

### 48. Training Decision Trees for Optimal Decision-Making

### 49. Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency

### 50. Advances in Bayesian inference and stable optimization for large-scale machine learning problems

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