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