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Data-driven pricing and inventory management with applications in fashion retail
(Massachusetts Institute of Technology, 2019)
Fashion retail is typically characterized by (1) high demand uncertainty and products with short life cycles, which complicates demand forecasting, and (2) low salvage values and long supply lead times, which penalizes for ...
Combinatorial structures in online and convex optimization
(Massachusetts Institute of Technology, 2017)
Motivated by bottlenecks in algorithms across online and convex optimization, we consider three fundamental questions over combinatorial polytopes. First, we study the minimization of separable strictly convex functions ...
Optimization models and methods for storage yard operations in maritime container terminals
(Massachusetts Institute of Technology, 2018)
Container terminals, where containers are transferred between different modes of transportation both on the seaside and landside, are crucial links in intercontinental supply chains. The rapid growth of container shipping ...
Learning with structured decision constraints
(Massachusetts Institute of Technology, 2018)
This thesis addresses several prediction and estimation problems under structured decision constraints. We consider them in two parts below. Part 1 focuses on supervised learning problems with constrained output spaces. ...
Structure, dynamics, and inference in networks
(Massachusetts Institute of Technology, 2020)
Networks offer a unified, conceptual formalism for reasoning about complex, relational systems. While pioneering work in network science focused primarily on the ability of "universal" models to explain the features of ...
Distributionally robust optimization with marginals : theory and applications
(Massachusetts Institute of Technology, 2019)
In this thesis, we consider distributionally robust optimization (DRO) problems in which the ambiguity sets are designed from marginal distribution information - more specifically, when the ambiguity set includes any ...
Data-driven optimization with behavioral considerations : applications to pricing
(Massachusetts Institute of Technology, 2019)
This thesis aims to introduce descriptive and predictive models that guide more informed pricing strategies in practice, drawing from interdisciplinary work of current OM, behavioral theories and recent machine learning ...
Prescriptive analytics in operations problems : a tree ensemble approach
(Massachusetts Institute of Technology, 2019)
The main contributions of this thesis concern addressing challenges in the field of prescriptive optimization, and how machine learning techniques can be incorporated into solving data-driven operational optimization ...
Predictive and prescriptive methods in operations research and machine learning : an optimization approach
(Massachusetts Institute of Technology, 2019)
The availability and prevalence of data have provided a substantial opportunity for decision makers to improve decisions and outcomes by effectively using this data. In this thesis, we propose approaches that start from ...
Analytics for online markets
(Massachusetts Institute of Technology, 2015)
Online markets are becoming increasingly important in today's world as more people gain access to the internet. Furthermore, the explosion of data that is collected via these online markets provides us with new opportunities ...