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2. Using Second-Order Information in Training Deep Neural Networks
3. Uncertainty Quantification in Data-Driven Simulation and Optimization: Statistical and Computational Efficiency
4. Two-Sided Matching Markets: Models, Structures, and Algorithms
5. Two Papers of Financial Engineering Relating to the Risk of the 2007--2008 Financial Crisis
6. Two Essays in Financial Engineering
7. Training Decision Trees for Optimal Decision-Making
8. Tractable Policies in Dynamic Robust Optimization
9. Tournaments With Forbidden Substructures and the Erdos-Hajnal Conjecture
10. Topics in Simulation: Random Graphs and Emergency Medical Services
11. Topics in large-scale limits of interacting systems: games with common noise, quantitative propagation of chaos and networks.
12. Topics in Deep Learning and Data-driven Optimization
13. Three Essays on Dynamic Pricing and Resource Allocation
14. The Theory of Systemic Risk
15. The MNL-Bandit Problem: Theory and Applications
16. Supply Chain and Service Operations with Demand-Side Flexibility
17. Submodular Secretary Problem with Shortlists under General Constraints
18. Studies in Stochastic Networks: Efficient Monte-Carlo Methods, Modeling and Asymptotic Analysis
19. Structured Tensor Recovery and Decomposition
20. Stochastic Networks: Modeling, Simulation Design and Risk Control
21. Stochastic Models of Limit Order Markets
22. Stochastic Methods in Optimization and Machine Learning
23. Stochastic Approximation Algorithms in the Estimation of Quasi-Stationary Distribution of Finite and General State Space Markov Chains
24. Staffing and Scheduling to Differentiate Service in Many-Server Service Systems
25. Some Problems in Graph Theory and Scheduling
26. Smart Grid Risk Management
27. Sequential Decision Making with Combinatorial Actions and High-Dimensional Contexts
28. Security and Statistics on Power Grids
29. Robust and Interpretable Sequential Decision-Making for Healthcare
30. Revenue Management in Video Games and with Fairness
31. Resource Cost Aware Scheduling Problems
32. Reinforcement Learning: New Algorithms and An Application for Integer Programming
33. Recursive Utility with Narrow Framing: Properties and Applications
34. Rare Events in Stochastic Systems: Modeling, Simulation Design and Algorithm Analysis
35. Rare-Event Estimation and Calibration for Large-Scale Stochastic Simulation Models
36. Ranking Algorithms on Directed Configuration Networks
37. Queues, Planes and Games: Algorithms for Scheduling Passengers, and Decision Making in Stackelberg Games
38. Quantitative Modeling of Credit Derivatives
39. Product Line Design, Pricing and Framing under General Choice Models
40. Production Planning with Risk Hedging
41. Privacy-Aware Data Analysis: Recent Developments for Statistics and Machine Learning
42. Pricing, Trading and Clearing of Defaultable Claims Subject to Counterparty Risk
43. Pricing Tools and Analysis for Emerging e-Commerce Technologies
44. Pricing Analytics for Reusable Resources
45. Price Dynamics & Trading Strategies in the Commodities Market
46. Permissioned Blockchain Adoption in Supply Chains
47. Periodic Little's law
48. Perfect Simulation, Sample-path Large Deviations, and Multiscale Modeling for Some Fundamental Queueing Systems
49. Perfect Simulation and Deployment Strategies for Detection
50. Optimization under Uncertainty with Applications in Data-driven Stochastic Simulation and Rare-event Estimation
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