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Alex Smola
Alex Smola
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Title
Cited by
Cited by
Year
Learning with kernels: Support vector machines, regularization, optimization, and beyond
B Schölkopf, AJ Smola
the MIT Press, 2002
21823*2002
A tutorial on support vector regression
AJ Smola, B Schölkopf
Statistics and computing 14 (3), 199-222, 2004
128982004
Nonlinear component analysis as a kernel eigenvalue problem
B Schölkopf, A Smola, KR Müller
Neural computation 10 (5), 1299-1319, 1998
100101998
Estimating the support of a high-dimensional distribution
B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
Neural computation 13 (7), 1443-1471, 2001
60472001
Support vector regression machines
H Drucker, CJ Burges, L Kaufman, A Smola, V Vapnik
Advances in neural information processing systems 9, 1996
51791996
Hierarchical attention networks for document classification
Z Yang, D Yang, C Dyer, X He, A Smola, E Hovy
Proceedings of the 2016 conference of the North American chapter of the …, 2016
43272016
Support vector method for function approximation, regression estimation and signal processing
V Vapnik, S Golowich, A Smola
Advances in neural information processing systems 9, 1996
37661996
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
36082000
A kernel two-sample test
A Gretton, KM Borgwardt, MJ Rasch, B Schölkopf, A Smola
The Journal of Machine Learning Research 13 (1), 723-773, 2012
34252012
Kernel principal component analysis
B Schölkopf, A Smola, KR Müller
International conference on artificial neural networks, 583-588, 1997
28431997
Kernel methods in machine learning
T Hofmann, B Schölkopf, AJ Smola
The annals of statistics 36 (3), 1171-1220, 2008
21772008
Support vector method for novelty detection
B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt
Advances in neural information processing systems 12, 1999
21021999
Communication efficient distributed machine learning with the parameter server
M Li, DG Andersen, AJ Smola, K Yu
Advances in Neural Information Processing Systems 27, 2014
20012014
A generalized representer theorem
B Schölkopf, R Herbrich, AJ Smola
International conference on computational learning theory, 416-426, 2001
18492001
kernlab-an S4 package for kernel methods in R
A Karatzoglou, A Smola, K Hornik, A Zeileis
Journal of statistical software 11, 1-20, 2004
18132004
Stacked attention networks for image question answering
Z Yang, X He, J Gao, L Deng, A Smola
Proceedings of the IEEE conference on computer vision and pattern …, 2016
17652016
A kernel method for the two-sample-problem
A Gretton, K Borgwardt, M Rasch, B Schölkopf, A Smola
Advances in neural information processing systems 19, 2006
17352006
Correcting sample selection bias by unlabeled data
J Huang, A Gretton, K Borgwardt, B Schölkopf, A Smola
Advances in neural information processing systems 19, 2006
17062006
Input space versus feature space in kernel-based methods
B Scholkopf, S Mika, CJC Burges, P Knirsch, KR Muller, G Ratsch, ...
IEEE transactions on neural networks 10 (5), 1000-1017, 1999
16081999
Deep sets
M Zaheer, S Kottur, S Ravanbakhsh, B Poczos, RR Salakhutdinov, ...
Advances in neural information processing systems 30, 2017
15662017
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