| Online learning with kernels J Kivinen, AJ Smola, RC Williamson Signal Processing, IEEE Transactions on 52 (8), 2165-2176, 2004 | 1171 | 2004 |
| Online learning with kernels J Kivinen, AJ Smola, RC Williamson Advances in neural information processing systems 1, 785-792, 2002 | 1171 | 2002 |
| Exponentiated gradient versus gradient descent for linear predictors J Kivinen, MK Warmuth information and computation 132 (1), 1-63, 1997 | 1112* | 1997 |
| Approximate inference of functional dependencies from relations J Kivinen, H Mannila Theoretical Computer Science 149 (1), 129-149, 1995 | 240 | 1995 |
| 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 | 197 | 1998 |
| 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 | 178 | 1997 |
| The power of sampling in knowledge discovery J Kivinen, H Mannila Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1994 | 168 | 1994 |
| Averaging expert predictions J Kivinen, MK Warmuth European Conference on Computational Learning Theory, 153-167, 1999 | 163 | 1999 |
| Boosting as entropy projection J Kivinen, MK Warmuth Proceedings of the twelfth annual conference on Computational learning …, 1999 | 155 | 1999 |
| Relative loss bounds for multidimensional regression problems J Kivinen, MK Warmuth Machine Learning 45 (3), 301-329, 2001 | 131 | 2001 |
| Additive versus exponentiated gradient updates for linear prediction J Kivinen, MK Warmuth Proceedings of the twenty-seventh annual ACM symposium on Theory of …, 1995 | 131 | 1995 |
| Approximate dependency inference from relations J Kivinen, H Mannila International Conference on Database Theory, 86-98, 1992 | 117 | 1992 |
| 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 | 108 | 1995 |
| Hedging Structured Concepts. WM Koolen, MK Warmuth, J Kivinen COLT, 93-105, 2010 | 107 | 2010 |
| Relative loss bounds for single neurons DP Helmbold, J Kivinen, MK Warmuth Neural Networks, IEEE Transactions on 10 (6), 1291-1304, 1999 | 91* | 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 | 87 | 2006 |
| Mixed Bregman clustering with approximation guarantees R Nock, P Luosto, J Kivinen Joint European Conference on Machine Learning and Knowledge Discovery in …, 2008 | 50 | 2008 |
| Relative loss bounds for multidimensional regression problems J Kivinen, MK Warmuth Advances in neural information processing systems, 287-293, 1998 | 50 | 1998 |
| Learning rules with local exceptions J Kivinen, H Mannila, E Ukkonen INSTITUTE OF MATHEMATICS AND ITS APPLICATIONS CONFERENCE SERIES 53, 35-35, 1994 | 34 | 1994 |
| Using experts for predicting continuous outcomes J Kivinen, MK Warmuth Proceedings of the first European conference on Computational learning …, 1994 | 31 | 1994 |
