Lunch In Theory This Thursday (12:00, 10/30, GCS 502c)

[Devansh Gupta]

Hi all,

Please join us for Lunch in Theory this Thursday, 10/30 at 12:00 in GCS 502c. 

Reminder: Please bring your own lunch, as lunch will not be provided.

This week we have Sid Devic giving his Thesis proposal and he will be speaking on Foundations of Trustworthy ML. Please find the title and abstract attached.

We look forward to having you all in the talk.

Best,

Devansh

Title: Foundations of Trustworthy Machine Learning in Modern Algorithmic Systems

Abstract: Modern algorithmic platforms like LinkedIn, ride-sharing, content delivery, and chatbots are increasingly complex aggregations of multiple machine-learned systems. This thesis seeks to investigate and understand how the foundations of trustworthy and reliable machine learning can be framed and studied within some of these complex systems. We begin by investigating the usefulness of unlabeled data for foundational supervised learning tasks, and how it relates to classic concepts like regularization. Next, we seek to understand how fairness and reliability can be understood or be achieved in complex algorithmic marketplaces such as ranking and matching systems. Finally, we investigate foundations of model uncertainty quantification in a variety of modern settings such as supervised learning over diverse non-homogenous populations, large language models, and model routing. Together, the work presented in this thesis helps advance the understanding, reliability, and fairness of modern machine learning systems and platforms.