Published multiple papers in top conferences including NeurIPS, ICLR, AISTATS. Notable works include 'Learning with Interval Targets', 'Learning from Weak Labelers as Constraints', 'On the Consistent Recovery of Joint Distributions from Conditionals' and received a Spotlight presentation at ICLR 2024.
Research Experience
Prior to starting her PhD, she worked on related research projects at IST Austria and the University of Oxford.
Education
PhD: Machine Learning Department, Carnegie Mellon University, working under Prof. Nina Balcan and Prof. Pradeep Ravikumar; Master's degree: Mathematics, University of Oxford, had the opportunity to work with Marco Mondelli (IST Austria) and Adam Foster, Tom Rainforth (Oxford).
Background
A fifth year PhD student in the Machine Learning Department at Carnegie Mellon University, particularly interested in the theoretical aspect of learning with side information such as domain knowledge, unlabeled data, and explanations.