-
1
-
-
84972574511
-
Weighted sums of certain dependent random variables
-
K. Azuma. Weighted sums of certain dependent random variables. Tohoku Mathematical Journal, 19:357-367, 1967.
-
(1967)
Tohoku Mathematical Journal
, vol.19
, pp. 357-367
-
-
Azuma, K.1
-
2
-
-
9444289383
-
Regularization and semi-supervised learning on large graphs
-
M. Belkin, I. Matveeva, and P. Niyogi. Regularization and semi-supervised learning on large graphs. In COLT, pages 624-638, 2004.
-
(2004)
COLT
, pp. 624-638
-
-
Belkin, M.1
Matveeva, I.2
Niyogi, P.3
-
3
-
-
9444288055
-
PAC-MDL bounds
-
A. Blum and J. Langford. PAC-MDL Bounds. In COLT, pages 344-357, 2003.
-
(2003)
COLT
, pp. 344-357
-
-
Blum, A.1
Langford, J.2
-
5
-
-
24344495921
-
Explicit learning curves for transduction and application to clustering and compression algorithms
-
P. Derbeko, R. El-Yaniv, and R. Meir. Explicit learning curves for transduction and application to clustering and compression algorithms. Journal of Artificial Intelligence Research, 22:117-142, 2004.
-
(2004)
Journal of Artificial Intelligence Research
, vol.22
, pp. 117-142
-
-
Derbeko, P.1
El-Yaniv, R.2
Meir, R.3
-
9
-
-
33646415556
-
Stability of unstable learning algorithms
-
Los Alamos National Laboratory
-
D. Hush, C. Scovel, and I. Steinwart. Stability of unstable learning algorithms. Technical Report LA-UR-03-4845, Los Alamos National Laboratory, 2003.
-
(2003)
Technical Report
, vol.LA-UR-03-4845
-
-
Hush, D.1
Scovel, C.2
Steinwart, I.3
-
10
-
-
0033566418
-
Algorithmic stability and sanity-check bounds for leave-one-out cross-validation
-
M. Kearns and D. Ron. Algorithmic stability and sanity-check bounds for leave-one-out cross-validation. Neural Computation, 11(6):1427-1453, 1999.
-
(1999)
Neural Computation
, vol.11
, Issue.6
, pp. 1427-1453
-
-
Kearns, M.1
Ron, D.2
-
11
-
-
33746063560
-
Extensions to McDiarmid's inequality when differences are bounded with high probability
-
University of Chicago
-
S. Kutin. Extensions to McDiarmid's inequality when differences are bounded with high probability. Technical Report TR-2002-04, University of Chicago, 2002.
-
(2002)
Technical Report
, vol.TR-2002-04
-
-
Kutin, S.1
-
12
-
-
33746041669
-
Almost-everywhere algorithmic stability and generalization error
-
S. Kutin and P. Niyogi. Almost-everywhere algorithmic stability and generalization error. In UAI, pages 275-282, 2002.
-
(2002)
UAI
, pp. 275-282
-
-
Kutin, S.1
Niyogi, P.2
-
13
-
-
0038609707
-
-
Number 89 in Mathematical Surveys and Monographs. American Mathematical Society
-
M. Ledoux. The concentration of measure phenomenon. Number 89 in Mathematical Surveys and Monographs. American Mathematical Society, 2001.
-
(2001)
The Concentration of Measure Phenomenon
-
-
Ledoux, M.1
-
14
-
-
0032090807
-
Approximate medians and other quantiles in one pass and with limited memory
-
G.S. Manku, S. Rajagopalan, and B.G. Lindsay. Approximate medians and other quantiles in one pass and with limited memory. In SIGMOD, volume 28, pages 426-435, 1998.
-
(1998)
SIGMOD
, vol.28
, pp. 426-435
-
-
Manku, G.S.1
Rajagopalan, S.2
Lindsay, B.G.3
-
15
-
-
1842515655
-
Statistical learning: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization
-
MIT
-
S. Mukherjee, P. Niyogi, T. Poggio, and R. Rifkin. Statistical learning: Stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization. Technical Report AI Memo 2002-024, MIT, 2004.
-
(2004)
Technical Report AI Memo 2002-024
-
-
Mukherjee, S.1
Niyogi, P.2
Poggio, T.3
Rifkin, R.4
-
16
-
-
33746061490
-
Stability results in learning theory
-
A. Rakhlin, S. Mukherjee, and T. Poggio. Stability results in learning theory. Analysis and Applications, 3(4):397-419, 2005.
-
(2005)
Analysis and Applications
, vol.3
, Issue.4
, pp. 397-419
-
-
Rakhlin, A.1
Mukherjee, S.2
Poggio, T.3
-
20
-
-
22944492898
-
Learning with local and global consistency
-
D. Zhou, O. Bousquet, T.N. Lal, J. Weston, and B. Scholkopf. Learning with local and global consistency. In NIPS, pages 321-328, 2003.
-
(2003)
NIPS
, pp. 321-328
-
-
Zhou, D.1
Bousquet, O.2
Lal, T.N.3
Weston, J.4
Scholkopf, B.5
-
21
-
-
1942484430
-
Semi-supervised learning using gaussian fields and harmonic functions
-
X. Zhu, Z. Ghahramani, and J.D. Lafferty. Semi-supervised learning using gaussian fields and harmonic functions. In ICML, pages 912-919, 2003.
-
(2003)
ICML
, pp. 912-919
-
-
Zhu, X.1
Ghahramani, Z.2
Lafferty, J.D.3
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