Abstract: Decision making tasks like contextual bandit and reinforcement learning often need to be conducted under data distribution shifts. For example, we may need to utilize off-policy data to evaluate […]
Abstract: The rapid integration of AI into educational settings presents opportunities and challenges—this talk will discuss findings from three large-scale field studies investigating the impact of AI on student learning. […]
Abstract: TBD Biography: Professor Vohra is a leading global expert in mechanism design; an innovative area of game theory that brings together economics, engineering, and computer science. His economics research […]
Abstract: Test-time compute has emerged as a new axis for scaling language model capabilities, yet we lack a principled understanding of this paradigm. What are the right algorithms and trade-offs […]
Abstract: TBD Biography: I’m a postdoctoral fellow at Harvard University as part of the Harvard Data Science Initiative, and I’m also an affiliate with LIDS at MIT. I work on developing […]
Abstract: TBD Biography: Kyunghyun Cho is a professor of computer science and data science at New York University and an executive director of frontier research at the Prescient Design […]
Abstract: TBD Biography: Yuanyuan Shi is an Assistant Professor at UC San Diego department of Electrical and Computer Engineering, with affiliations at the Center for Energy Research and the MICS. She received her […]
