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Jyrki Kivinen
Jyrki Kivinen
Professor of Computer Science, University of Helsinki
Verified email at cs.helsinki.fi
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Cited by
Year
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Signal Processing, IEEE Transactions on 52 (8), 2165-2176, 2004
12702004
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Advances in neural information processing systems 1, 785-792, 2002
12702002
Exponentiated gradient versus gradient descent for linear predictors
J Kivinen, MK Warmuth
information and computation 132 (1), 1-63, 1997
1165*1997
Approximate inference of functional dependencies from relations
J Kivinen, H Mannila
Theoretical Computer Science 149 (1), 129-149, 1995
2721995
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
2091998
Relative loss bounds for multidimensional regression problems
J Kivinen, MKK Warmuth
Advances in neural information processing systems 10, 1997
1941997
The power of sampling in knowledge discovery
J Kivinen, H Mannila
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1994
1841994
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
1831995
Averaging expert predictions
J Kivinen, MK Warmuth
Computational Learning Theory: 4th European Conference, EuroCOLT’99 …, 1999
1701999
Boosting as entropy projection
J Kivinen, MK Warmuth
Proceedings of the twelfth annual conference on Computational learning …, 1999
1571999
Additive versus exponentiated gradient updates for linear prediction
J Kivinen, MK Warmuth
Proceedings of the twenty-seventh annual ACM symposium on Theory of …, 1995
1381995
Approximate dependency inference from relations
J Kivinen, H Mannila
Database Theory—ICDT'92: 4th International Conference Berlin, Germany …, 1992
1311992
Tight worst-case loss bounds for predicting with expert advice
D Haussler, J Kivinen, MK Warmuth
Computational Learning Theory: Second European Conference, EuroCOLT'95 …, 2005
1142005
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1122010
Relative loss bounds for single neurons
DP Helmbold, J Kivinen, MK Warmuth
Neural Networks, IEEE Transactions on 10 (6), 1291-1304, 1999
99*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
962006
Mixed Bregman clustering with approximation guarantees
R Nock, P Luosto, J Kivinen
Machine Learning and Knowledge Discovery in Databases: European Conference …, 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
342010
Online bayes point machines
E Harrington, R Herbrich, J Kivinen, J Platt, RC Williamson
Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference …, 2003
252003
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