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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