Maria-Florina_Balcan
Maria-Florina Balcan
Romanian-American computer scientist
Maria-Florina (Nina) Balcan is a Romanian-American computer scientist[1][3] whose research investigates machine learning, algorithmic game theory, theoretical computer science,[1] including active learning, kernel methods, random-sampling mechanisms and envy-free pricing. She is an associate professor of computer science at Carnegie Mellon University.[4][5][6][7]
Nina Balcan | |
|---|---|
| Born | Maria-Florina Balcan |
| Alma mater | University of Bucharest Carnegie Mellon University (PhD) |
| Awards | Sloan Research Fellowship (2014) Grace Murray Hopper Award (2019) |
| Scientific career | |
| Fields | Machine learning Algorithmic game theory Theoretical computer science[1] |
| Institutions | Carnegie Mellon University Microsoft Research Georgia Institute of Technology |
| Thesis | New Theoretical Frameworks for Machine Learning (2008) |
| Doctoral advisor | Avrim Blum[2] |
| Website | www |
Balcan is originally from Romania, and earned a bachelor's degree in 2000 from the University of Bucharest, earning summa cum laude honors with a double major in mathematics and computer science. She continued at the University of Bucharest for a master's degree in computer science in 2002, and then earned a PhD in computer science in 2008 from Carnegie Mellon University[8] where her research was supervised by Avrim Blum.[2][9]
After working as a postdoctoral researcher at Microsoft Research New England, she was appointed assistant professor in the Georgia Institute of Technology College of Computing in 2009. She returned to Carnegie Mellon as a tenured faculty member in 2014.[8]
Balcan served as program committee co-chair for three major machine learning conferences, including COLT 2014, the International Conference on Machine Learning (ICML) 2016, and the Conference on Neural Information Processing Systems (NeurIPS) 2020. She is the general chair for ICML 2021.[8]
Awards and honors
Balcan is a Microsoft Faculty Fellow (2011), a Sloan Research Fellow (2014) and a Kavli Frontiers of Science Fellow (2015).[8] She was awarded the 2019 Grace Murray Hopper Award by the Association for Computing Machinery (ACM), for her "foundational and breakthrough contributions to minimally-supervised learning". [10][11] She is a 2021 Simons Investigator.[12]
Balcan was named as an ACM Fellow, in the 2023 class of fellows, for "contributions to the foundations of machine learning and its applications to algorithmic economics and algorithm design".[13]
- Maria-Florina Balcan publications indexed by Google Scholar
- Balcan, Maria-Florina (2008). New Theoretical Frameworks for Machine Learning (PDF). cs.cmu.edu (PhD thesis). Carnegie Mellon University. ISBN 9780549957577. OCLC 318693401. ProQuest 304668600.
- Maria-Florina Balcan at DBLP Bibliography Server
- "Nina Balcan", csd.cs.cmu.edu, Carnegie Mellon University Computer Science, retrieved 2020-05-23
- Balcan, Maria-Florina; Beygelzimer, Alina; Langford, John (2009). "Agnostic active learning". Journal of Computer and System Sciences. 75 (1): 78–89. doi:10.1016/j.jcss.2008.07.003. ISSN 0022-0000.
- Balcan, Maria-Florina; Broder, Andrei; Zhang, Tong (2007). "Margin Based Active Learning". Learning Theory. Lecture Notes in Computer Science. Vol. 4539. pp. 35–50. doi:10.1007/978-3-540-72927-3_5. ISBN 978-3-540-72925-9.
- Balcan, Maria-Florina; Blum, Avrim; Srebro, Nathan (2008). "A theory of learning with similarity functions". Machine Learning. 72 (1–2): 89–112. doi:10.1007/s10994-008-5059-5. ISSN 0885-6125.
- "Curriculum vitae: Nina Balcan" (PDF), cs.cmu.edu, retrieved 2020-05-23
- Anon (2019). "Maria Balcan Named Recipient of ACM Grace Murray Hopper Award for Significant Innovations to Machine Learning". awards.acm.org.
- "Simons Investigators". Simons Foundation. July 10, 2018. Retrieved 2021-07-18.
- "Dr. Maria-Florina Balcan". Award recipients. Association for Computing Machinery. Retrieved 2024-01-24.