Speaker
Maria-Florina Balcan
Speaker Bio
Maria Florina Balcan is the Cadence Design Systems Professor of Computer Science in the School of Computer Science at Carnegie Mellon University. Her main research interests are machine learning, artificial intelligence, theory of computing, algorithmic game theory, and connections between learning theory and other scientific fields. She is a Simons Investigator, an ACM Fellow, an AAAI Fellow, a Sloan Fellow, a Microsoft Research Faculty Fellow, and the recipient of the ACM Grace Murray Hopper Award, NSF CAREER award, paper awards in UAI, COLT, and ACM-EC, and several other industry awards. She has given distinguished lectures and invited keynote talks across different research fields (including machine learning, information theory, mathematics, algorithmic game theory, and operations research). She has co-chaired major conferences in the field: the Conference on Learning Theory (COLT) 2014, the International Conference on Machine Learning (ICML) 2016, and Neural Information Processing Systems (NeurIPS) 2020. She was also the general chair for the International Conference on Machine Learning (ICML) 2021, a board member of the International Machine Learning Society, and a member of the scientific advisory board for the Simons Institute for Theory of Computing.
More Information:
Talks at this conference:
| 9:15 | Can machine learning fix its own problems? Hyperparameter tuning of machine learning with provable guarantees Live |