Search Results
2. Beyond Worst-Case Analysis for Sequential Decision Making
3. Efficient Methods for Large-Scale Dynamic Optimization with Applications to Inventory Management Problems
4. Essays in transportation inequalities, entropic gradient flows and mean field approximations
5. Integrating Machine Learning and Optimization for Problems in Contextual Decision-Making and Dynamic Learning
6. Operations Research Tools for Biology
7. Queues, Planes and Games: Algorithms for Scheduling Passengers, and Decision Making in Stackelberg Games
8. Rare-Event Estimation and Calibration for Large-Scale Stochastic Simulation Models
9. Three Sojourns in Queueing Theory
10. Topics in Deep Learning and Data-driven Optimization
11. Topics in large-scale limits of interacting systems: games with common noise, quantitative propagation of chaos and networks.
12. Algorithms for Matching Problems Under Data Accessibility Constraints
13. Essays on Discrete Optimization: Optimal Stopping and Popular Matchings
14. Essays on Network Theory: Diffusion, Link Analysis, and Hypergraph Learning
15. Essays on Online Learning and Resource Allocation
16. Essays on Skills-Based Routing
17. Extremal Queueing Theory
18. Incremental Packing Problems: Algorithms and Polyhedra
19. Innovative derivative pricing and time series simulation techniques via machine and deep learning
20. Mean field games with heterogeneous players: From portfolio optimization to network effects
21. New Optimization Models and Methods for Classical, Infinite-Dimensional, and Online Fisher Markets
22. On the Misclassification Cost Problem and Dynamic Resource Allocation Models for EMS
23. Optimization and learning in dynamic environments: models and algorithms
24. Optimization under Uncertainty with Applications in Data-driven Stochastic Simulation and Rare-event Estimation
25. Permissioned Blockchain Adoption in Supply Chains
26. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning
27. Revenue Management in Video Games and with Fairness
28. Two-Sided Matching Markets: Models, Structures, and Algorithms
29. Using Second-Order Information in Training Deep Neural Networks
30. Learning to Optimize Decisions in Online Service Platforms
31. Me, Myself and I: time-inconsistent stochastic control, contract theory and backward stochastic Volterra integral equations
32. Reinforcement Learning: New Algorithms and An Application for Integer Programming
33. Robust and Interpretable Sequential Decision-Making for Healthcare
34. Stochastic Methods in Optimization and Machine Learning
35. Supply Chain and Service Operations with Demand-Side Flexibility
36. Topics in Simulation: Random Graphs and Emergency Medical Services
37. Variable Clustering Methods and Applications in Portfolio Selection
38. A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence
39. Assortment Planning From A Large Universe
40. Continuous-Time and Distributionally Robust Mean-Variance Models
41. Convex Optimization and Extensions, with a View Toward Large-Scale Problems
42. Discrete Optimization Problems in Popular Matchings and Scheduling
43. Essays in Networked Markets and Financial Technology
44. Exact simulation algorithms with applications in queueing theory and extreme value analysis
45. Network Structures, Concurrency, and Interpretability: Lessons from the Development of an AI Enabled Graph Database System
46. New Algorithms and Analysis Techniques for Reinforcement Learning
47. New Analytics Paradigms in Online Advertising and Fantasy Sports
48. Optimization and revenue management in complex networks
49. Optimization Foundations of Reinforcement Learning
50. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts
- « Previous
- Next »
- 1
- 2
- 3