Event Category: Operations Research Seminar Series

2/13/25 | 4:15pm | E51-376 Daniel Russo Philip H. Geier Jr. Associate ProfessorColumbia Business School Abstract: We cast the challenges of uncertainty quantification and exploration in online decision-making as a problem of training and generation from an autoregressive sequence model, an area experiencing rapid innovation. Central to our approach is viewing uncertainty as arising from…

2/20/25 | 4:15pm | E51-376 Fatma Kilinc-Karzan Professor of Operations ResearchTepper School of Business, Carnegie Mellon University Abstract: We consider an online strategic classification problem where each arriving agent can manipulate their true feature vector to obtain a positive predicted label while incurring a cost that depends on the amount of manipulation. The learner seeks…

2/27/25 | 4:15pm | E51-376 Christina Yu Assistant ProfessorCornell University, Operations Research and Information Engineering Abstract: Matrix completion is a powerful tool for predicting missing values in data, with applications in econometrics, recommendation systems, healthcare, and social sciences. Traditional methods often assume that missing data follows specific patterns, but real-world data could lack the assumed…

3/6/25 | 4:15pm | E62-276 Pascal Van Hentenryck A. Russell Chandler III Chair and ProfessorGeorgia Institute of Technology Joint talk with LIDS. Abstract: This talk considers the concept of trustworthy optimization learning, a methodology to design optimization proxies that learn the input/output mapping of parametric optimization problems. These optimization proxies are trustworthy by design: they…

3/13/25 | 4:15pm | E51-376 Dan Andrei Iancu Associate Professor of Operations, Information and Technology at the Graduate School of BusinessFaculty Affiliate in the Woods InstituteStanford University Abstract: We discuss a set of problems arising in the management of global food systems where technology and data analytics combined with operational innovations and incentives can lead…

3/20/25 | 4:15pm | E51-376 Sanjeeb Dash ResearcherIBM Research Abstract: The problem of finding score-maximizing Bayesian Networks, where the score represents quality of fit to input data, can be modeled as an integer program, and some of the state-of-the-art algorithms for this problem solve such integer programs. We discuss recent work on integer programming models…

4/10/25 | 4:15pm | E51-376 Cathy Wu Thomas D. and Virginia W. Cabot Career Development Associate ProfessorMIT Abstract: The increasing complexity of modern mobility systems is challenging traditional engineering practices. A fundamental challenge is that different engineering requirements lead to distinct optimization and control problems, each necessitating specialized techniques that can take years to develop.…

4/17/25 | 4:15pm | E51-376 Ali Aouad Assistant Professor of Operations ManagementMIT Abstract: Managing “market thickness” is critical for digital service platforms and resource allocation matching markets, such as ride-hailing, organ donation, and emergency response. However, optimization-based matching policies are often computationally intractable in dynamic market environments. Previous research focuses on static policies or simplified…

4/24/25 | 4:15pm | E51-376 Kosuke Imai Professor of Government and of StatisticsHarvard University Abstract: In this paper, we demonstrate how to enhance the validity of causal inference with unstructured high-dimensional treatments like texts and images, by leveraging the power of generative Artificial Intelligence. Specifically, we propose to use a deep generative model such as…

5/8/25 | 4:15pm | E51-376 Ciamac Moallemi William von Mueffling Professor of BusinessColumbia Business School Abstract: TBA Bio: Ciamac C. Moallemi is the William Von Mueffling Professor of Business in the Decision, Risk, and Operations Division of the Graduate School of Business at Columbia University. He also develops quantitative trading strategies at Bourbaki LLC, a…