There is a growing need to apply machine intelligence and learning at the edge of the cloud. Doing so would reduce delays for interactive LLM…
Our world is extremely complex, and yet we are able to exchange our thoughts and beliefs about it using a relatively small number of words.…
We study markets where a set of indivisible items is sold to bidders with unit-demand valuations, subject to a hard budget limit. Without financial constraints…
I will be discussing my recent work on personalization in federated learning. Federated learning is a powerful distributed optimization framework in which multiple clients collaboratively…
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Abstract: Linear bandits and contextual bandits are online learning problems that have a wide range of applications, including recommendation systems, healthcare and many others. For…
Abstract Models for clinical risk prediction are important tools for clinicians to understand the risks of adverse event decision-making, stratify patient populations, and enable shared…
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Abstract: Despite its extensive range of potential applications in virtual reality and augmented reality, 3D interacting hand pose estimation from RGB image remains a very…
Join a gathering of innovators harnessing emerging technology to expand access to participatory, playful, and creative learning. Online and In Person.
Friday, October 10 at 1pm, we will be hosting the closing keynote for CLS, Denaé Metaxa in person at 1pm on the 5th floor of…