author
Chief Scientist
,
Snorkel AI
Assistant Professor @ University of Wisconsin-Madison
Frederic Sala is Chief Scientist at Snorkel AI and an assistant professor in the Computer Sciences Department at the University of Wisconsin-Madison. His research studies the fundamentals of data-driven systems and machine learning, with a focus on foundation models, automated machine learning, learning with limited data. Previously, he was a postdoctoral researcher at Stanford. He received his Ph.D. in electrical engineering from UCLA.
The latest from Fred
Learning Dependency Structures for Weak Supervision Models
This work focuses on a robust PCA-based algorithm for learning these dependency structures, establish improved theoretical recovery rates, and outperform existing methods on various real world tasks.
Research Paper
Learning Dependency Structures for Weak Supervision Models
This work focuses on a robust PCA-based algorithm for learning these dependency structures, establish improved theoretical recovery rates, and outperform existing methods on various real world tasks.
