News
Paper accepted at SIGMOD
We got a paper accepted at SIGMOD 2025 on improving the performance of model search for transfer learning.
Open Ph.D. positions
Are you interested in data science / databases and are passionate about research? Consider joining our group.
Papers accepted at NeurIPS and SIGMOD
We got a paper about learning from uncertain data accepted at NeurIPS 2024 and a paper on using approximate query processing accepted at SIGMOD 2025.
New course CS594 - Provenance & Explanations in Fall 2024
Learn how to build explainable, trust-worthy, secure, transparent, and fair systems for data analysis and machine learning.
Boris is moving to UIC in Spring 2024
Prof. Glavic will be joining University of Illinois, Chicago in January 2024.
Workshop at Simons Institute on Logic and Algebra for Query Evaluation
Boris presents our group’s work on uncertain data management at Berkeley
Su Feng Graduation
Congrats to Su for graduating! Su will continue to work with our group as a PostDoc.
SIGMOD Blog: Why Uncertainty is Unavoidable and What We Can Do About That
Boris discusses why uncertainty is unavoidable in data analysis and gives an overview of our work on uncertain data management.