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2. Advances in Bayesian inference and stable optimization for large-scale machine learning problems
3. A Family of Latent Variable Convex Relaxations for IBM Model 2
4. A Framework for Analyzing Stochastic Optimization Algorithms Under Dependence
5. Algorithm Design and Localization Analysis in Sequential and Statistical Learning
6. Algorithmic Bayesian Epistemology
7. Algorithms for Matching Problems Under Data Accessibility Constraints
8. Algorithms for Sparse and Low-Rank Optimization: Convergence, Complexity and Applications
9. Applied Inventory Management: New Approaches to Age-Old Problems
10. Approximate dynamic programming for large scale systems
11. Approximation Algorithms for Demand-Response Contract Execution and Coflow Scheduling
12. A Robust Queueing Network Analyzer Based on Indices of Dispersion
13. A Simulation Model to Analyze the Impact of Golf Skills and a Scenario-based Approach to Options Portfolio Optimization
14. Assortment Planning From A Large Universe
15. Asymptotic Analysis of Service Systems with Congestion-Sensitive Customers
16. Beyond Worst-Case Analysis for Sequential Decision Making
17. Budget Management in Auctions: Bidding Algorithms and Equilibrium Analysis
18. Clearinghouse Default Resources: Theory and Empirical Analysis
19. Competition in Service Operations and Supply Chains: Equilibrium Analysis and Structural Estimation
20. Contingent Capital: Valuation and Risk Implications Under Alternative Conversion Mechanisms
21. Continuous-Time and Distributionally Robust Mean-Variance Models
22. Convex Optimization Algorithms and Recovery Theories for Sparse Models in Machine Learning
23. Convex Optimization and Extensions, with a View Toward Large-Scale Problems
24. Data-Driven Combinatorial Optimization and Efficient Machine Learning Frameworks
25. Data-driven Decision-making: New Insights on Algorithm Performance and Data Value
26. Data-driven Decisions in Service Systems
27. Data-driven System Design in Service Operations
28. Decision Making with Coupled Learning: Applications in Inventory Management and Auctions
29. Demand Learning in Two Operations Models
30. Design and Evaluation of Procurement Combinatorial Auctions
31. Designing and Optimizing Matching Markets
32. Discrete Optimization Problems in Popular Matchings and Scheduling
33. Distributionally Robust Performance Analysis: Data, Dependence and Extremes
34. Dynamic Markets with Many Agents: Applications in Social Learning and Competition
35. Dynamic Pricing and Demand Shaping: Theory and Applications in Online Assortments, Ride Sharing and Smart Grids
36. Dynamic Trading Strategies in the Presence of Market Frictions
37. Efficient Adoption of Residential Energy Technologies Through Improved Electric Retail Rate Design
38. Efficient Methods for Large-Scale Dynamic Optimization with Applications to Inventory Management Problems
39. Efficient Simulation and Performance Stabilization for Time-Varying Single-Server Queues
40. Efficient Simulation Methods for Estimating Risk Measures
41. Empirical Modeling and Applications in Financial Economics and Healthcare Management
42. Epidemiology in Emergency Response: The application of epidemiologic methods to global emergency response decisions
43. Essays in Basketball Analytics
44. Essays in Consumer Choice Driven Assortment Planning
45. Essays in Financial Engineering
46. Essays in information relaxations and scenario analysis for partially observable settings
47. Essays in Networked Markets and Financial Technology
48. Essays in transportation inequalities, entropic gradient flows and mean field approximations
49. Essays on Approximation Algorithms for Robust Linear Optimization Problems
50. Essays on Cloud Pricing and Causal Inference
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