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Steve Hanneke
Steve Hanneke
Purdue University
Zweryfikowany adres z ttic.edu - Strona główna
Tytuł
Cytowane przez
Cytowane przez
Rok
Discrete temporal models of social networks
S Hanneke, W Fu, EP Xing
6352010
Theory of disagreement-based active learning
S Hanneke
Foundations and Trends® in Machine Learning 7 (2-3), 131-309, 2014
3692014
A bound on the label complexity of agnostic active learning
S Hanneke
Proceedings of the 24th international conference on Machine learning, 353-360, 2007
3652007
The true sample complexity of active learning
MF Balcan, S Hanneke, JW Vaughan
Machine learning 80, 111-139, 2010
2142010
A theory of transfer learning with applications to active learning
L Yang, S Hanneke, J Carbonell
Machine learning 90, 161-189, 2013
1922013
Rates of convergence in active learning
S Hanneke
The Annals of Statistics, 333-361, 2011
1722011
The optimal sample complexity of PAC learning
S Hanneke
Journal of Machine Learning Research 17 (38), 1-15, 2016
1672016
Vc classes are adversarially robustly learnable, but only improperly
O Montasser, S Hanneke, N Srebro
Conference on Learning Theory, 2512-2530, 2019
1612019
Recovering temporally rewiring networks: A model-based approach
F Guo, S Hanneke, W Fu, EP Xing
Proceedings of the 24th international conference on Machine learning, 321-328, 2007
1462007
Minimax analysis of active learning.
S Hanneke, L Yang
J. Mach. Learn. Res. 16 (1), 3487-3602, 2015
1352015
Theoretical foundations of active learning
S Hanneke
Carnegie Mellon University, 2009
1332009
Discrete temporal models of social networks
S Hanneke, EP Xing
ICML Workshop on Statistical Network Analysis, 115-125, 2006
1152006
Teaching dimension and the complexity of active learning
S Hanneke
International conference on computational learning theory, 66-81, 2007
1042007
On the value of target data in transfer learning
S Hanneke, S Kpotufe
Advances in Neural Information Processing Systems 32, 2019
902019
Activized learning: Transforming passive to active with improved label complexity
S Hanneke
The Journal of Machine Learning Research 13 (1), 1469-1587, 2012
682012
A theory of universal learning
O Bousquet, S Hanneke, S Moran, R Van Handel, A Yehudayoff
Proceedings of the 53rd Annual ACM SIGACT Symposium on Theory of Computing …, 2021
662021
Universal Bayes consistency in metric spaces
S Hanneke, A Kontorovich, S Sabato, R Weiss
2020 Information Theory and Applications Workshop (ITA), 1-33, 2020
592020
Proper learning, Helly number, and an optimal SVM bound
O Bousquet, S Hanneke, S Moran, N Zhivotovskiy
Conference on Learning Theory, 582-609, 2020
572020
Adaptive Rates of Convergence in Active Learning.
S Hanneke
COLT, 2009
562009
A no-free-lunch theorem for multitask learning
S Hanneke, S Kpotufe
The Annals of Statistics 50 (6), 3119-3143, 2022
542022
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