Jyrki Kivinen
Jyrki Kivinen
Professor of Computer Science, University of Helsinki
Verified email at cs.helsinki.fi
Title
Cited by
Cited by
Year
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Signal Processing, IEEE Transactions on 52 (8), 2165-2176, 2004
11072004
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Advances in neural information processing systems 1, 785-792, 2002
11072002
Exponentiated gradient versus gradient descent for linear predictors
J Kivinen, MK Warmuth
information and computation 132 (1), 1-63, 1997
1082*1997
Approximate inference of functional dependencies from relations
J Kivinen, H Mannila
Theoretical Computer Science 149 (1), 129-149, 1995
2481995
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
1891998
The Perceptron algorithm versus Winnow: linear versus logarithmic mistake bounds when few input variables are relevant
J Kivinen, MK Warmuth, P Auer
Artificial Intelligence 97 (1-2), 325-343, 1997
1791997
Relative loss bounds for multidimensional regression problems
J Kivinen, MK Warmuth
Machine Learning 45 (3), 301-329, 2001
1742001
The power of sampling in knowledge discovery
J Kivinen, H Mannila
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1994
1661994
Boosting as entropy projection
J Kivinen, MK Warmuth
Proceedings of the twelfth annual conference on Computational learning …, 1999
1561999
Averaging expert predictions
J Kivinen, MK Warmuth
European Conference on Computational Learning Theory, 153-167, 1999
1511999
Additive versus exponentiated gradient updates for linear prediction
J Kivinen, MK Warmuth
Proceedings of the twenty-seventh annual ACM symposium on Theory of …, 1995
1341995
Approximate dependency inference from relations
J Kivinen, H Mannila
International Conference on Database Theory, 86-98, 1992
1151992
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
1081995
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1042010
Relative loss bounds for single neurons
DP Helmbold, J Kivinen, MK Warmuth
Neural Networks, IEEE Transactions on 10 (6), 1291-1304, 1999
88*1999
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
842006
Mixed Bregman clustering with approximation guarantees
R Nock, P Luosto, J Kivinen
Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008
482008
Learning rules with local exceptions
J Kivinen, H Mannila, E Ukkonen
INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES 53, 35-35, 1994
371994
Using experts for predicting continuous outcomes
J Kivinen, MK Warmuth
Proceedings of the first European conference on Computational learning …, 1994
311994
Online bayes point machines
E Harrington, R Herbrich, J Kivinen, J Platt, RC Williamson
Pacific-Asia Conference on Knowledge Discovery and Data Mining, 241-252, 2003
252003
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