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Jyrki Kivinen
Jyrki Kivinen
Professor of Computer Science, University of Helsinki
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Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Signal Processing, IEEE Transactions on 52 (8), 2165-2176, 2004
13442004
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Advances in neural information processing systems 1, 785-792, 2002
13442002
Exponentiated gradient versus gradient descent for linear predictors
J Kivinen, MK Warmuth
information and computation 132 (1), 1-63, 1997
1203*1997
Approximate inference of functional dependencies from relations
J Kivinen, H Mannila
Theoretical Computer Science 149 (1), 129-149, 1995
2901995
Sequential prediction of individual sequences under general loss functions
D Haussler, J Kivinen, MK Warmuth
IEEE Transactions on Information Theory 44 (5), 1906-1925, 1998
2141998
Relative loss bounds for multidimensional regression problems
J Kivinen, MKK Warmuth
Advances in neural information processing systems 10, 1997
1951997
The perceptron algorithm vs. winnow: linear vs. logarithmic mistake bounds when few input variables are relevant
J Kivinen, MK Warmuth
Proceedings of the eighth annual conference on Computational learning theory ¡¦, 1995
1861995
The power of sampling in knowledge discovery
J Kivinen, H Mannila
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on ¡¦, 1994
1831994
Averaging expert predictions
J Kivinen, MK Warmuth
European Conference on Computational Learning Theory, 153-167, 1999
1811999
Boosting as entropy projection
J Kivinen, MK Warmuth
Proceedings of the twelfth annual conference on Computational learning ¡¦, 1999
1641999
Additive versus exponentiated gradient updates for linear prediction
J Kivinen, MK Warmuth
Proceedings of the twenty-seventh annual ACM symposium on Theory of ¡¦, 1995
1471995
Approximate dependency inference from relations
J Kivinen, H Mannila
International Conference on Database Theory, 86-98, 1992
1281992
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1232010
Tight worst-case loss bounds for predicting with expert advice
D Haussler, J Kivinen, MK Warmuth
European Conference on Computational Learning Theory, 69-83, 1995
1231995
The p-norm generalization of the LMS algorithm for adaptive filtering
J Kivinen, MK Warmuth, B Hassibi
IEEE Transactions on Signal Processing 54 (5), 1782-1793, 2006
1022006
Relative loss bounds for single neurons
DP Helmbold, J Kivinen, MK Warmuth
Neural Networks, IEEE Transactions on 10 (6), 1291-1304, 1999
102*1999
Mixed Bregman clustering with approximation guarantees
R Nock, P Luosto, J Kivinen
Joint European Conference on Machine Learning and Knowledge Discovery in ¡¦, 2008
492008
Learning rules with local exceptions
J Kivinen, H Mannila, E Ukkonen
European Conference on Computational Learning Theory, 35-46, 1994
401994
Using experts for predicting continuous outcomes
J Kivinen, M Warmuth
Levine's Working Paper Archive, 2010
362010
Online learning of linear classifiers
J Kivinen
Advanced Lectures on Machine Learning: Machine Learning Summer School 2002 ¡¦, 2003
262003
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