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- January 2014
- Article
Pareto Efficiency in Robust Optimization
By: Dan Iancu and Nikolaos Trichakis
This paper formalizes and adapts the well-known concept of Pareto efficiency in the context of the popular robust optimization (RO) methodology for linear optimization problems. We argue that the classical RO paradigm need not produce solutions that possess the... View Details
Iancu, Dan, and Nikolaos Trichakis. "Pareto Efficiency in Robust Optimization." Management Science 60, no. 1 (January 2014): 130–147.
- July–August 2011
- Article
Robust Optimization Made Easy with ROME
By: Joel Goh and Melvyn Sim
We introduce ROME, an algebraic modeling toolbox for a class of robust optimization problems. ROME serves as an intermediate layer between the modeler and optimization solver engines, allowing modelers to express robust optimization problems in a mathematically... View Details
Keywords: Robust Optimization; Algebraic Modeling Toolbox; MATLAB; Stochastic Programming; Decision Rules; Inventory Control; PERT; Project Management; Portfolio Optimization; Information Technology; Mathematical Methods; Operations
Goh, Joel, and Melvyn Sim. "Robust Optimization Made Easy with ROME." Operations Research 59, no. 4 (July–August 2011): 973–985.
- 2020
- Working Paper
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjami Lockwood, Afras Y. Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
Lockwood, Benjami, Afras Y. Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." NBER Working Paper Series, No. 28098, November 2020.
- Article
Portfolio Value-at-Risk Optimization for Asymmetrically Distributed Asset Returns
By: Joel Goh, Kian Guan Lim, Melvyn Sim and Weina Zhang
We propose a new approach to portfolio optimization by separating asset return distributions into positive and negative half-spaces. The approach minimizes a newly-defined Partitioned Value-at-Risk (PVaR) risk measure by using half-space statistical information. Using... View Details
Goh, Joel, Kian Guan Lim, Melvyn Sim, and Weina Zhang. "Portfolio Value-at-Risk Optimization for Asymmetrically Distributed Asset Returns." European Journal of Operational Research 221, no. 2 (September 1, 2012): 397–406.
- Article
Distributionally Robust Optimization and Its Tractable Approximations
By: Joel Goh and Melvyn Sim
In this paper we focus on a linear optimization problem with uncertainties, having expectations in the objective and in the set of constraints. We present a modular framework to obtain an approximate solution to the problem that is distributionally robust and more... View Details
Goh, Joel, and Melvyn Sim. "Distributionally Robust Optimization and Its Tractable Approximations." Operations Research 58, no. 4 (pt.1) (July–August 2010): 902–917.
- 2021
- Article
Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation
By: Benjamin B. Lockwood, Afras Sial and Matthew C. Weinzierl
Economists typically check the robustness of their results by comparing them across plausible ranges of parameter values and model structures. A preferable approach to robustness—for the purposes of policymaking and evaluation—is to design policy that takes these... View Details
Lockwood, Benjamin B., Afras Sial, and Matthew C. Weinzierl. "Designing, Not Checking, for Policy Robustness: An Example with Optimal Taxation." Tax Policy and the Economy 35 (2021).
- Article
Robust and Stable Black Box Explanations
By: Himabindu Lakkaraju, Nino Arsov and Osbert Bastani
As machine learning black boxes are increasingly being deployed in real-world applications, there
has been a growing interest in developing post hoc explanations that summarize the behaviors
of these black boxes. However, existing algorithms for generating such... View Details
Lakkaraju, Himabindu, Nino Arsov, and Osbert Bastani. "Robust and Stable Black Box Explanations." Proceedings of the International Conference on Machine Learning (ICML) 37th (2020): 5628–5638. (Published in PMLR, Vol. 119.)
- 2023
- Article
Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse
By: Martin Pawelczyk, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci and Himabindu Lakkaraju
As machine learning models are increasingly being employed to make consequential decisions in real-world settings, it becomes critical to ensure that individuals who are adversely impacted (e.g., loan denied) by the predictions of these models are provided with a means... View Details
Pawelczyk, Martin, Teresa Datta, Johannes van-den-Heuvel, Gjergji Kasneci, and Himabindu Lakkaraju. "Probabilistically Robust Recourse: Navigating the Trade-offs between Costs and Robustness in Algorithmic Recourse." Proceedings of the International Conference on Learning Representations (ICLR) (2023).
- Research Summary
Optimal Decision Making Under Uncertainty
Inventory control problems in supply chains. In this stream of theoretical research, Professor Goh has investigated how inventory should be optimally managed in supply chains. Specifically, he has studied how supply chains can make decisions to operate... View Details
- 2023
- Working Paper
Distributionally Robust Causal Inference with Observational Data
By: Dimitris Bertsimas, Kosuke Imai and Michael Lingzhi Li
We consider the estimation of average treatment effects in observational studies and propose a new framework of robust causal inference with unobserved confounders. Our approach is based on distributionally robust optimization and proceeds in two steps. We first... View Details
Bertsimas, Dimitris, Kosuke Imai, and Michael Lingzhi Li. "Distributionally Robust Causal Inference with Observational Data." Working Paper, February 2023.
- 2023
- Article
Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness
By: Suraj Srinivas, Sebastian Bordt and Himabindu Lakkaraju
One of the remarkable properties of robust computer vision models is that their input-gradients are often aligned with human perception, referred to in the literature as perceptually-aligned gradients (PAGs). Despite only being trained for classification, PAGs cause... View Details
Srinivas, Suraj, Sebastian Bordt, and Himabindu Lakkaraju. "Which Models Have Perceptually-Aligned Gradients? An Explanation via Off-Manifold Robustness." Advances in Neural Information Processing Systems (NeurIPS) (2023).
- 2007
- Working Paper
Optimal Reserve Management and Sovereign Debt
By: Laura Alfaro and Fabio Kanczuk
Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. However, given the sovereign's willingness-to-pay incentive problems, reserve accumulation may reduce sustainable debt levels. In addition, assuming... View Details
- 2020
- Working Paper
Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus
By: David Hao Zhang and Paul Willen
We use a new methodology to assess mortgage pricing discrimination by race. We make four main contributions. First, we show that existing estimates of mortgage pricing differences by race can be confounded by a "menu problem," which is the problem associated with... View Details
Keywords: Mortgages; Financing and Loans; Prejudice and Bias; Race; Measurement and Metrics; Banking Industry; United States
Zhang, David Hao, and Paul Willen. "Do Lenders Still Discriminate? A Robust Approach for Assessing Differences in Menus." Working Paper, September 2020.
- February 2009
- Article
Optimal Reserve Management and Sovereign Debt
By: Laura Alfaro and Fabio Kanczuk
Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. However, given the sovereign's willingness-to-pay incentive problems, reserve accumulation may reduce sustainable debt levels. In addition, assuming... View Details
Keywords: Borrowing and Debt; Motivation and Incentives; Decisions; Emerging Markets; Balance and Stability; Earnings Management; Policy; Interest Rates; International Finance; Cost
Alfaro, Laura, and Fabio Kanczuk. "Optimal Reserve Management and Sovereign Debt." Journal of International Economics 77, no. 1 (February 2009): 23–36. (Also Harvard Business School Working Paper, No. 07-010, 2006 and NBER Working Paper No. 13216.)
- Research Summary
Optimal Reserve Management and Sovereign Debt (with Fabio Kanczuk)
By: Laura Alfaro
Most models currently used to determine optimal foreign reserve holdings take the level of international debt as given. Some of the implications of this analysis, however, may not be generalized once one considers the joint decision to hold debt and reserves by a... View Details
- Article
Total Cost Control in Project Management via Satisficing
By: Joel Goh and Nicholas G. Hall
We consider projects with uncertain activity times and the possibility of expediting, or crashing, them. Activity times come from a partially specified distribution within a family of distributions. This family is described by one or more of the following details about... View Details
Keywords: Project Management; Time And Cost Control; Robust Optimization; Satisficing; Linear Decision Rule; PERT; Management; Cost Management; Projects
Goh, Joel, and Nicholas G. Hall. "Total Cost Control in Project Management via Satisficing." Management Science 59, no. 6 (June 2013): 1354–1372.
- Research Summary
Overview
Professor Goh’s primary research interest is applying mathematical models to real-world problems in health care in order to inform, improve, and enhance medical decision making and health policy. His recent work in this domain focuses on developing new methods for... View Details
- Article
Popular Acceptance of Inequality Due to Innate Brute Luck and Support for Classical Benefit-based Taxation
U.S. survey respondents' views on distributive justice differ in two specific, related ways from what is conventionally assumed in modern optimal tax research. When expressing their preferences over allocations in stylized, hypothetical scenarios meant to isolate key... View Details
Keywords: Optimal Taxation; Welfarism; Luck; Benefit-based Taxation; Taxation; Equality and Inequality; Attitudes
Weinzierl, Matthew C. "Popular Acceptance of Inequality Due to Innate Brute Luck and Support for Classical Benefit-based Taxation." Journal of Public Economics 155 (November 2017): 54–63. (Also Harvard Business School Working Paper, No. 16-104, March 2016; revised July 2016, and NBER Working Paper Series, No. 22462, July 2016. See Notes on Fortune article.)
- October 2024
- Article
Canary Categories
By: Eric Anderson, Chaoqun Chen, Ayelet Israeli and Duncan Simester
Past customer spending in a category is generally a positive signal of future customer spending. We show that there exist “canary categories” for which the reverse is true. Purchases in these categories are a signal that customers are less likely to return to that... View Details
Keywords: Churn; Churn Management; Churn/retention; Assortment Planning; Retail; Retailing; Retailing Industry; Preference Heterogeneity; Assortment Optimization; Customers; Retention; Consumer Behavior; Forecasting and Prediction; Retail Industry
Anderson, Eric, Chaoqun Chen, Ayelet Israeli, and Duncan Simester. "Canary Categories." Journal of Marketing Research (JMR) 61, no. 5 (October 2024): 872–890.
- November 2018 (Revised May 2019)
- Case
California Closets: Organizing the Customer Experience
By: Boris Groysberg and Annelena Lobb
California Closets had used robust net promoter score (NPS) data, surveyed across its locations, to create a more consistent and satisfying customer experience. CEO Bill Barton wanted to further optimize the customer experience around best practices. He also wanted to... View Details
Keywords: Net Promoter Score; Customer Relationship Management; Customer Satisfaction; Customers; Acquisition; Demographics; Strategy
Groysberg, Boris, and Annelena Lobb. "California Closets: Organizing the Customer Experience." Harvard Business School Case 419-004, November 2018. (Revised May 2019.)