-
1
-
-
84904299163
-
The power of localization for efficiently learning linear separators with noise
-
P. Awasthi, M-F. Balcan, and P. M. Long. The power of localization for efficiently learning linear separators with noise. In STOC, 2014.
-
(2014)
STOC
-
-
Awasthi, P.1
Balcan, M.-F.2
Long, P.M.3
-
2
-
-
56349166999
-
Agnostic active learning
-
M.-F. Balcan, A. Beygelzimer, and J. Langford. Agnostic active learning. J. Comput. Syst. Sci., 75(1):78-89, 2009.
-
(2009)
J. Comput. Syst. Sci.
, vol.75
, Issue.1
, pp. 78-89
-
-
Balcan, M.-F.1
Beygelzimer, A.2
Langford, J.3
-
4
-
-
84937847157
-
Active and passive learning of linear separators under log-concave distributions
-
M.-F. Balcan and P. M. Long. Active and passive learning of linear separators under log-concave distributions. In COLT, 2013.
-
(2013)
COLT
-
-
Balcan, M.-F.1
Long, P.M.2
-
8
-
-
64549147626
-
Analysis of a greedy active learning strategy
-
S. Dasgupta. Analysis of a greedy active learning strategy. In NIPS, 2004.
-
(2004)
NIPS
-
-
Dasgupta, S.1
-
9
-
-
71049162986
-
Coarse sample complexity bounds for active learning
-
S. Dasgupta. Coarse sample complexity bounds for active learning. In NIPS, 2005.
-
(2005)
NIPS
-
-
Dasgupta, S.1
-
10
-
-
79952631522
-
Two faces of active learning
-
S. Dasgupta. Two faces of active learning. Theor. Comput. Sci., 412(19), 2011.
-
(2011)
Theor. Comput. Sci.
, vol.412
, Issue.19
-
-
Dasgupta, S.1
-
11
-
-
56449108037
-
Hierarchical sampling for active learning
-
S. Dasgupta and D. Hsu. Hierarchical sampling for active learning. In ICML, 2008.
-
(2008)
ICML
-
-
Dasgupta, S.1
Hsu, D.2
-
12
-
-
56449123291
-
A general agnostic active learning algorithm
-
S. Dasgupta, D. Hsu, and C. Monteleoni. A general agnostic active learning algorithm. In NIPS, 2007.
-
(2007)
NIPS
-
-
Dasgupta, S.1
Hsu, D.2
Monteleoni, C.3
-
13
-
-
77953500857
-
On the foundations of noise-free selective classification
-
R. El-Yaniv and Y. Wiener. On the foundations of noise-free selective classification. JMLR, 2010.
-
(2010)
JMLR
-
-
El-Yaniv, R.1
Wiener, Y.2
-
14
-
-
85162556819
-
Agnostic selective classification
-
R. El-Yaniv and Y. Wiener. Agnostic selective classification. In NIPS, 2011.
-
(2011)
NIPS
-
-
El-Yaniv, R.1
Wiener, Y.2
-
15
-
-
84857868393
-
Active learning via perfect selective classification
-
R. El-Yaniv and Y. Wiener. Active learning via perfect selective classification. JMLR, 2012.
-
(2012)
JMLR
-
-
El-Yaniv, R.1
Wiener, Y.2
-
17
-
-
0031209604
-
Selective sampling using the query by committee algorithm
-
Y. Freund, H. S. Seung, E. Shamir, and N. Tishby. Selective sampling using the query by committee algorithm. Machine Learning, 28(2-3):133-168, 1997.
-
(1997)
Machine Learning
, vol.28
, Issue.2-3
, pp. 133-168
-
-
Freund, Y.1
Seung, H.S.2
Shamir, E.3
Tishby, N.4
-
18
-
-
56449094315
-
A bound on the label complexity of agnostic active learning
-
S. Hanneke. A bound on the label complexity of agnostic active learning. In ICML, 2007.
-
(2007)
ICML
-
-
Hanneke, S.1
-
19
-
-
84898062667
-
Adaptive rates of convergence in active learning
-
S. Hanneke. Adaptive rates of convergence in active learning. In COLT, 2009.
-
(2009)
COLT
-
-
Hanneke, S.1
-
21
-
-
84937960180
-
Surrogate losses in passive and active learning
-
S. Hanneke and L. Yang. Surrogate losses in passive and active learning. CoRR, abs/1207.3772, 2012.
-
(2012)
CoRR, Abs/1207.3772
-
-
Hanneke, S.1
Yang, L.2
-
23
-
-
34547987626
-
Active learning in the non-realizable case
-
M. Kääriäinen. Active learning in the non-realizable case. In ALT, 2006.
-
(2006)
ALT
-
-
Kääriäinen, M.1
-
24
-
-
78649426154
-
Rademacher complexities and bounding the excess risk in active learning
-
V. Koltchinskii. Rademacher complexities and bounding the excess risk in active learning. JMLR, 2010.
-
(2010)
JMLR
-
-
Koltchinskii, V.1
-
25
-
-
56449122733
-
Knows what it knows: A framework for self-aware learning
-
L. Li, M. L. Littman, and T. J. Walsh. Knows what it knows: a framework for self-aware learning. In ICML, 2008.
-
(2008)
ICML
-
-
Li, L.1
Littman, M.L.2
Walsh, T.J.3
-
27
-
-
83255176241
-
The geometry of generalized binary search
-
R. D. Nowak. The geometry of generalized binary search. IEEE Transactions on Information Theory, 57(12):7893-7906, 2011.
-
(2011)
IEEE Transactions on Information Theory
, vol.57
, Issue.12
, pp. 7893-7906
-
-
Nowak, R.D.1
-
29
-
-
41549089117
-
A tutorial on conformal prediction
-
G. Shafer and V. Vovk. A tutorial on conformal prediction. JMLR, 2008.
-
(2008)
JMLR
-
-
Shafer, G.1
Vovk, V.2
-
30
-
-
3142725508
-
Optimal aggregation of classifiers in statistical learning
-
A. B. Tsybakov. Optimal aggregation of classifiers in statistical learning. Annals of Statistics, 32:135-166, 2004.
-
(2004)
Annals of Statistics
, vol.32
, pp. 135-166
-
-
Tsybakov, A.B.1
|