Event Category: Operations Research Seminar Series
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Capacity Management in Outpatient Care in the Presence of No-Shows
2/22/18 | 4:15pm | E51-345 Reception to follow. Mor Armony Professor of Operations Management NYU, Stern School of Business Abstract: Patient no-shows is a serious issue that significantly complicates capacity management in outpatient care. In this talk we examine various aspects of this challenge and propose ways to alleviate the negative…
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Deployment Guidelines for Community Health Workers in sub-Saharan Africa
11/30/2017 | 4:15pm | E51-335 Reception to follow. Jónas Jónasson Assistant Professor Sloan School of Management, MIT Abstract: Community health workers (CHWs) are increasingly important to healthcare delivery in many African countries. Leveraging an extensive dataset featuring time, clinical findings, and GPS information for CHW visits in sub-Saharan Africa, we develop…
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Estimating Individual Treatment Effect Using Deep Learning
11/16/2017 | 4:15pm | E51-335 Reception to follow. David Sontag Assistant Professor EECS, MIT Abstract: There is intense interest in applying machine learning to problems of causal inference in fields such as healthcare, economics and education. In this talk, I introduce two new approaches for estimating individual treatment effect (ITE) from…
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Multiplicative Pacing Equilibria in Auction Markets
11/9/2017 | 4:15pm | E51-335 Reception to follow. Nicolas Stier Research Scientist Manager Facebook Abstract: Budgets play a significant role in real-world sequential auction markets such as those implemented by Internet companies. To maximize the value provided to auction participants, spending is smoothed across auctions so budgets are used for the…
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Product Convexification: A New Relaxation Framework for Nonconvex Programs
10/19/2017 | 4:15pm | E51-335 Reception to follow. Mohit Tawarmalani Professor Krannert School of Management, Purdue University Abstract: We develop a new relaxation that exploits function structure while convexifying a product of n functions. The function structure is encapsulated using at most d over and underestimators. We convexify the function product…
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Efficient Methods for Enforcing Contiguity in Geographic Districting Problems
10/12/2017 | 4:15pm | E51-335 Reception to follow. Sheldon Jacobson GEBI Founder Professor in Engineering University of Illinois Abstract: Every ten years, United States Congressional Districts must be redesigned in response to a national census. While the size of practical political districting problems is typically too large for exact optimization approaches,…
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Large, Sparse Optimal Matching With Refined Covariate Balance in an Observational Study of the Health Outcomes Produced by New Surgeons
10/5/2017 | 4:15pm | E51-335 Reception to follow. Sam Pimentel Assistant Professor University of California Abstract: How do health outcomes for newly-trained surgeons’ patients compare with those for patients of experienced surgeons? To answer this question using data from Medicare, we introduce a new form of matching that pairs patients of…
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Sketchy Decisions: Convex Low-Rank Matrix Optimization with Optimal Storage
9/28/2017 | 4:15pm | E51-335 Reception to follow. Madeleine Udell Assistant Professor Cornell University Abstract: In this talk, we consider a fundamental class of convex matrix optimization problems with low-rank solutions. We show it is possible to solve these problem using far less memory than the natural size of the decision…
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Learning Preferences with Side Information: Near Optimal Recovery of Tensors
9/21/2017 | 4:15pm | E51-335 Reception to follow. Andrew Li PhD Student Operations Research Center, MIT Abstract: Product and content personalization is now ubiquitous in e-commerce. There is typically too little available transactional data for this task. As such, companies today seek to use a variety of information on the interactions…
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The Charm Of Behavior-Based Pricing: When Both Firms And Consumers Base Their Decisions On Purchase History
9/14/2017 | 4:15pm | E51-335 Reception to follow. Wilfred Amaldoss Thomas A. Finch Jr. Professor Duke University’s Fuqua School of Business Abstract: Technology is making it easier for firms to track consumers’ purchase history and leverage the information in setting prices. The extant literature on behavior-based pricing (BBP), however, casts doubt…