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Now showing items 51-60 of 91
Multiserver queueing systems in heavy traffic
(Massachusetts Institute of Technology, 2017)
In the study of queueing systems, a question of significant current interest is that of large scale behavior, where the size of the system increases without bound. This regime has becoming increasingly relevant with the ...
Methods for convex optimization and statistical learning
(Massachusetts Institute of Technology, 2016)
We present several contributions at the interface of first-order methods for convex optimization and problems in statistical machine learning. In the first part of this thesis, we present new results for the Frank-Wolfe ...
Exploration vs. exploitation : reducing uncertainty in operational problems
(Massachusetts Institute of Technology, 2016)
Motivated by several core operational applications, we introduce a class of multistage stochastic optimization models that capture a fundamental tradeoff between performing work under uncertainty (exploitation) and investing ...
Regulating exploration in multi-armed bandit problems with time patterns and dying arms
(Massachusetts Institute of Technology, 2018)
In retail, there are predictable yet dramatic time-dependent patterns in customer behavior, such as periodic changes in the number of visitors, or increases in customers just before major holidays. The standard paradigm ...
Airline scheduling and air traffic control : incorporating uncertainty and passenger and airline preferences
(Massachusetts Institute of Technology, 2017)
The global airline industry is a multi-stakeholder stochastic system whose performance is the outcome of complex interactions between its multiple decisions-makers under a high degree of uncertainty. Inadequate understanding ...
Analytic search methods in online social networks
(Massachusetts Institute of Technology, 2017)
This thesis presents and evaluates methods for searching and analyzing social media data in order to improve situational awareness. We begin by proposing a method for network vertex search that looks for the target vertex ...
A robust optimization approach to online problems
(Massachusetts Institute of Technology, 2017)
In this thesis, we consider online optimization problems that are characterized by incrementally revealed input data and sequential irrevocable decisions that must be made without complete knowledge of the future. We employ ...
Data-driven methods for personalized product recommendation systems
(Massachusetts Institute of Technology, 2018)
The online market has expanded tremendously over the past two decades across all industries ranging from retail to travel. This trend has resulted in the growing availability of information regarding consumer preferences ...
Stochastic models and data driven simulations for healthcare operations
(Massachusetts Institute of Technology, 2014)
This thesis considers problems in two areas in the healthcare operations: Kidney Paired Donation (KPD) and scheduling medical residents in hospitals. In both areas, we explore the implications of policy change through high ...
Design and operation of a last mile transportation system
(Massachusetts Institute of Technology, 2015)
The Last Mile Problem refers to the provision of travel service from the nearest public transportation node to a home or office. Last Mile Transportation Systems (LMTS) are critical extensions to traditional public transit ...