96 citations · 147 across the 13 of their papers we have counts for
15 papers
Optimal Spectral Design with Prior Information
Anton J. Kleywegt, Johannes Milz, Mohit Singh +1
We study a class of spectral design problems in which a prior positive semidefinite information matrix is updated by a sum of rank-one matrices constructed from chosen design vecto…
Policies for the Operation of an Ambulance Fleet under Uncertainty based on a New Preparedness Metric
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento
Two important decisions in the management of an ambulance fleet are ambulance selection decisions and ambulance reassignment decisions. Ambulance selection decisions determine what…
Estimation of Spatiotemporal Poisson Processes with Some Missing Location Data
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento +1
We consider models for spatiotemporal Poisson processes with some missing location data. We discuss four models that make provision for missing location data, and their estimation.…
New Heuristics for the Operation of an Ambulance Fleet under Uncertainty
Vincent Guigues, Anton J. Kleywegt, Victor Hugo Nascimento
The operation of an ambulance fleet involves ambulance selection decisions about which ambulance to dispatch to each emergency, and ambulance reassignment decisions about what each…
Management and Visualization Tools for Emergency Medical Services
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento +3
This paper describes an online tool for the visualization of medical emergency locations, randomly generated sample paths of medical emergencies, and the animation of ambulance mov…
LASPATED: A Library for the Analysis of Spatio-Temporal Discrete Data (User Manual)
Vincent Guigues, Anton J. Kleywegt, Giovanni Amorim +2
This is the User Manual of the LASPATED library. This library is available on GitHub (at https://github.com/vguigues/LASPATED)) and provides a set of tools to analyze spatiotempora…
LASPATED: a Library for the Analysis of SPAtio-TEmporal Discrete data
Vincent Guigues, Anton Kleywegt, Giovanni Amorim +2
We describe methods, tools, and a software library called LASPATED, available on GitHub (at https://github.com/vguigues/) to fit models using spatio-temporal data and space-time di…
Revenue Management Under the Markov Chain Choice Model with Joint Price and Assortment Decisions
Anton J. Kleywegt, Hongzhang Shao
Finding the optimal product prices and product assortment are two fundamental problems in revenue management. Usually, a seller needs to jointly determine the prices and assortment…
Operation of an ambulance fleet under uncertainty
Vincent Guigues, Anton Kleywegt, Victor Hugo Nascimento
We introduce two new optimization models for the dispatch of ambulances. The first model, called the ambulance selection problem, is used when an emergency call arrives to decide w…
Optimizing Pricing, Repositioning, En-Route Time, and Idle Time in Ride-Hailing Systems
Anton J. Kleywegt, Hongzhang Shao
In ride-hailing systems, en-route time refers to the time that elapses from the moment a car is dispatched to pick up a rider until the rider is picked up. A fundamental phenomenon…
Tractable Profit Maximization over Multiple Attributes under Discrete Choice Models
Hongzhang Shao, Anton J. Kleywegt
A fundamental problem in revenue management is to optimally choose the attributes of products, such that the total profit or revenue or market share is maximized. Usually, these at…
Joint Estimation of Discrete Choice Model and Arrival Rate with Unobserved Stock-out Events
Hongzhang Shao, Anton J. Kleywegt
This paper studies the joint estimation problem of a discrete choice model and the arrival rate of potential customers when unobserved stock-out events occur. In this paper, we gen…
Wasserstein Distributionally Robust Optimization and Variation Regularization
Rui Gao, Xi Chen, Anton J. Kleywegt
Wasserstein distributionally robust optimization (DRO) has recently achieved empirical success for various applications in operations research and machine learning, owing partly to…
Distributionally Robust Stochastic Optimization with Dependence Structure
Rui Gao, Anton J. Kleywegt
Distributionally robust stochastic optimization (DRSO) is a framework for decision-making problems under certainty, which finds solutions that perform well for a chosen set of prob…
Distributionally Robust Stochastic Optimization with Wasserstein Distance
Rui Gao, Anton J. Kleywegt
Distributionally robust stochastic optimization (DRSO) is an approach to optimization under uncertainty in which, instead of assuming that there is a known true underlying probabil…