11 citations · 16 across the 9 of their papers we have counts for
13 papers
AstroQ: Automated Scheduling of Cadenced Astronomical Observations
Jack Lubin, Erik A. Petigura, Velibor V. Mišić +2
Astronomy relies heavily on time domain observations. To maximize the scientific yield of such observations, astronomers must carefully match the observational cadence to the pheno…
Automated Scheduling of Doppler Exoplanet Observations at Keck Observatory
Luke B. Handley, Erik A. Petigura, Velibor V. Misic +2
Precise Doppler studies of extrasolar planets require fine-grained control of observational cadence, i.e. the timing of and spacing between observations. We present a novel framewo…
Solving the Traveling Telescope Problem with Mixed Integer Linear Programming
Luke B. Handley, Erik A. Petigura, Velibor V. Misic
The size and complexity of modern astronomical surveys has grown to the point where, in many cases, traditional human scheduling of observations are tedious at best and impractical…
Randomized Robust Price Optimization
Xinyi Guan, Velibor V. Mišić
The robust multi-product pricing problem is to determine the prices of a collection of products so as to maximize the worst-case revenue, where the worst case is taken over an unce…
Randomized Policy Optimization for Optimal Stopping
Xinyi Guan, Velibor V. Mišić
Optimal stopping is the problem of determining when to stop a stochastic system in order to maximize reward, which is of practical importance in domains such as finance, operations…
Exact Logit-Based Product Design
İrem Akchen, Velibor V. Mišić
The share-of-choice product design (SOCPD) problem is to find the product, as defined by its attributes, that maximizes market share arising from a collection of customer types or…
Assortment Optimization under the Decision Forest Model
Yi-Chun Akchen, Velibor V. Mišić
We study the problem of finding the optimal assortment that maximizes expected revenue under the decision forest model, a recently proposed nonparametric choice model that is capab…
Column-Randomized Linear Programs: Performance Guarantees and Applications
Yi-Chun Akchen, Velibor V. Mišić
We propose a randomized method for solving linear programs with a large number of columns but a relatively small number of constraints. Since enumerating all the columns is usually…
Data Analytics in Operations Management: A Review
Velibor V. Mišić, Georgia Perakis
Research in operations management has traditionally focused on models for understanding, mostly at a strategic level, how firms should operate. Spurred by the growing availability…
Decision Forest: A Nonparametric Approach to Modeling Irrational Choice
Yi-Chun Chen, Velibor V. Mišić
Customer behavior is often assumed to follow weak rationality, which implies that adding a product to an assortment will not increase the choice probability of another product in t…
Interpretable Optimal Stopping
Dragos Florin Ciocan, Velibor V. Mišić
Optimal stopping is the problem of deciding when to stop a stochastic system to obtain the greatest reward, arising in numerous application areas such as finance, healthcare and ma…
Optimization of Tree Ensembles
Velibor V. Mišić
Tree ensemble models such as random forests and boosted trees are among the most widely used and practically successful predictive models in applied machine learning and business a…
A Comparison of Monte Carlo Tree Search and Mathematical Optimization for Large Scale Dynamic Resource Allocation
Dimitris Bertsimas, J. Daniel Griffith, Vishal Gupta +3
Dynamic resource allocation (DRA) problems are an important class of dynamic stochastic optimization problems that arise in a variety of important real-world applications. DRA prob…