Maria-Florina Balcan

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Avrim BlumProfessor and Chief Academic Officer, Toyota Technological Institute at ChicagoVerified email at ttic.edu
Yingyu LiangUniversity of Hong KongVerified email at hku.hk
Ellen VitercikStanford UniversityVerified email at stanford.edu
Tuomas SandholmAngel Jordan University Professor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Yishay MansourTel Aviv UniversityVerified email at tauex.tau.ac.il
pranjal awasthiGoogleVerified email at rutgers.edu
Hongyang ZhangAssistant Professor of Computer Science, University of WaterlooVerified email at uwaterloo.ca
Le SongBiomap, Mohamed bin Zayed University of Artificial IntelligenceVerified email at biomap.com
Santosh S. VempalaGeorgia TechVerified email at gatech.edu
Colin WhiteAbacus.AIVerified email at cs.cmu.edu
Nika HaghtalabUniversity of California, BerkeleyVerified email at berkeley.edu
David WoodruffProfessor of Computer Science, Carnegie Mellon UniversityVerified email at cs.cmu.edu
Steve HannekePurdue UniversityVerified email at ttic.edu
John LangfordMicrosoft Research New YorkVerified email at hunch.net
Ruth UrnerAssociate Professor, York University, TorontoVerified email at eecs.yorku.ca
NAN DUAI and Machine Learning Research, AppleVerified email at apple.com
Heiko RöglinProfessor of Computer Science, University of BonnVerified email at cs.uni-bonn.de
Jason HartlineProfessor of Computer Science, Northwestern U.Verified email at northwestern.edu
Ariel ProcacciaGordon McKay Professor of Computer Science, Harvard UniversityVerified email at seas.harvard.edu
Bo XieFacebookVerified email at fb.com

Maria-Florina Balcan

Professor, School of Computer Science, Carnegie Mellon University

Verified email at cs.cmu.edu

Machine Learning Algorithmic Game Theory Theoretical Computer Science.


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Agnostic active learning MF Balcan, A Beygelzimer, J Langford MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE- 23, 65, 2006	639	2006
Margin based active learning MF Balcan, A Broder, T Zhang International Conference on Computational Learning Theory, 35-50, 2007	432	2007
Co-training and expansion: Towards bridging theory and practice MF Balcan, A Blum, K Yang Advances in neural information processing systems 17, 2004	402	2004
Adaptive gradient-based meta-learning methods M Khodak, MFF Balcan, AS Talwalkar Advances in Neural Information Processing Systems 32, 2019	396	2019
On a theory of learning with similarity functions MF Balcan, A Blum Proceedings of the 23rd international conference on Machine learning, 73-80, 2006	281	2006
Scalable kernel methods via doubly stochastic gradients B Dai, B Xie, N He, Y Liang, A Raj, MFF Balcan, L Song Advances in neural information processing systems 27, 2014	263	2014
Learning to branch MF Balcan, T Dick, T Sandholm, E Vitercik International conference on machine learning, 344-353, 2018	238	2018
Distributed -means and -median Clustering on General Topologies MFF Balcan, S Ehrlich, Y Liang Advances in neural information processing systems 26, 2013	229	2013
Distributed learning, communication complexity and privacy MF Balcan, A Blum, S Fine, Y Mansour Conference on Learning Theory, 26.1-26.22, 2012	222	2012
The power of localization for efficiently learning linear separators with noise P Awasthi, MF Balcan, PM Long Journal of the ACM (JACM) 63 (6), 1-27, 2017	221	2017
Improved distributed principal component analysis Y Liang, MFF Balcan, V Kanchanapally, D Woodruff Advances in neural information processing systems 27, 2014	216*	2014
The true sample complexity of active learning MF Balcan, S Hanneke, JW Vaughan Machine learning 80, 111-139, 2010	214	2010
A discriminative framework for clustering via similarity functions MF Balcan, A Blum, S Vempala Proceedings of the fortieth annual ACM symposium on Theory of computing, 671-680, 2008	201	2008
Provable guarantees for gradient-based meta-learning MF Balcan, M Khodak, A Talwalkar International Conference on Machine Learning, 424-433, 2019	178	2019
Active and passive learning of linear separators under log-concave distributions MF Balcan, P Long Conference on Learning Theory, 288-316, 2013	175	2013
Robust hierarchical clustering MF Balcan, Y Liang, P Gupta The Journal of Machine Learning Research 15 (1), 3831-3871, 2014	173	2014
Approximate clustering without the approximation MF Balcan, A Blum, A Gupta Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009	170	2009
Kernels as features: On kernels, margins, and low-dimensional mappings MF Balcan, A Blum, S Vempala Machine Learning 65 (1), 79-94, 2006	169	2006
Item pricing for revenue maximization MF Balcan, A Blum, Y Mansour Proceedings of the 9th ACM Conference on Electronic Commerce, 50-59, 2008	167	2008
Approximation algorithms and online mechanisms for item pricing MF Balcan, A Blum Proceedings of the 7th ACM Conference on Electronic Commerce, 29-35, 2006	165	2006

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