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