Event Category: Operations Research Seminar Series

11/21/24 | 4:15pm | E51-149 Fei Fang Associate Professor of Computer ScienceCarnegie Mellon University Abstract: Societal challenges involve complex decision-making by multiple self-interested agents. In our research, we delve into the development of game theory and machine learning-based methodologies and tools to tackle these challenges, with a strong focus on contributing to the social good.…

3/14/24 | 4:15pm | E51-376 Margret Bjarnasdottir Associate ProfessorUMD Abstract: The main focus of the talk is how analytical approaches using noisy secondary data can be used to map illegal psychostimulant (cocaine and methamphetamine) trafficking networks in the US. We use price and purity data from the System to Retrieve Information from Drug Evidence (STRIDE)…

5/9/24 | 4:15pm | E51-376         Bartolomeo Stellato Assistant Professor Princeton Abstract: In this fast-paced world, intelligent systems need to make reliable, real-time decisions in response to changing conditions and unexpected disruptions. Mathematical optimization is instrumental in this process, but it must offer reliable computations and robust solutions, especially in the presence…

5/2/24 | 4:15pm | E51-376         Wenqiang Xiao Professor NYU Abstract: We study platform financing in comparison to trade credit when lending to third-party sellers with either exogenous or endogenous default risk. By offering low-rate finance to a seller, the platform can potentially increase its commission but also expose itself to the…

4/18/24 | 4:15pm | E51-376         Raaz Dwivedi Assistant Professor Cornell Abstract: Latent factor models are widely utilized for causal inference in panel data, involving multiple measurements across various units. Popular inference methods include matrix completion for estimating the average treatment effect (ATE) and the nearest neighbor approach for individual treatment effects…

4/4/24 | 4:15pm | E51-376         Yiling Chen Gordon McKay Professor of Computer Science Harvard Abstract: When information is generated, collected and spread by people, ensuring the integrity of information is critical for downstream use of the information. In this talk I will discuss two of our efforts in improving information integrity…

3/21/24 | 4:15pm | E51-376         Aryan Mokhtari Assistant Professor UT Austin Abstract: Quasi-Newton (QN) methods are popular iterative algorithms known for their superior practical performance compared to Gradient Descent (GD)-type methods. However, the existing theoretical results for this class of algorithms do not sufficiently justify their advantage over GD-type methods. Specifically,…

2/22/24 | 4:15pm | E51-376         Eytan Bakshy Director and Research Scientist, Adaptive Experimentation Team Meta Abstract: TBA Bio: Eytan Bakshy is a director and research scientist at Meta, where he leads the Adaptive Experimentation team. Their work focuses on developing practical and robust methods for sequential experimentation for real-world applications. Eytan’s research interests…

2/15/24 | 4:15pm | E51-376         Chara Podimata Assistant Professor of Operations Research and Statistics MIT Abstract: Algorithmic decision-making has become omnipresent in our everyday lives. Knowing that algorithms make several consequential decisions for their lives, humans have been documented to strategize in various ways when interacting with said algorithms. Examples of…

12/7/23 | 4:15pm | E51-335         Noah Gans Anheuser-Busch Professor of Management Science University of Pennsylvania Abstract: Conditional-approval schemes, which postpone pricing and reimbursement decisions for new health technologies until after the collection of post-market-approval data, can mitigate uncertainty regarding a technology’s health-economic value. Analytical work that evaluates these schemes rarely considers…