Reliable and Useful Learning. - Jyrki Kivinen (COLT, 1989)

Reliable and Useful Learning with Uniform Probability Distributions. - Jyrki Kivinen (ALT, 1990)

On inducing topologically minimal decision trees. - Tapio Elomaa; Jyrki Kivinen (TAI, 1990)

Learning Hierarchical Rule Sets. - Jyrki Kivinen; Heikki Mannila; Esko Ukkonen (COLT, 1992)

Approximate Dependency Inference from Relations. - Jyrki Kivinen; Heikki Mannila (ICDT, 1992)

Learning rules with local exceptions. - Jyrki Kivinen; Heikki Mannila; Esko Ukkonen (EuroCOLT, 1993)

Using experts for predicting continuous outcomes. - Jyrki Kivinen; Manfred K. Warmuth (EuroCOLT, 1993)

An ALgorithm for Learning Hierarchical Classifiers. - Jyrki Kivinen; Heikki Mannila; Esko Ukkonen; Jaak Vilo (ECML, 1994)

The Power of Sampling in Knowledge Discovery. - Jyrki Kivinen; Heikki Mannila (PODS, 1994)

The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant. - Jyrki Kivinen; Manfred K. Warmuth (COLT, 1995)

Tight worst-case loss bounds for predicting with expert advice. - David Haussler; Jyrki Kivinen; Manfred K. Warmuth (EuroCOLT, 1995)

Worst-case Loss Bounds for Single Neurons. - David P. Helmbold; Jyrki Kivinen; Manfred K. Warmuth (NIPS, 1995)

Additive versus exponentiated gradient updates for linear prediction. - Jyrki Kivinen; Manfred K. Warmuth (STOC, 1995)

Learning Reliably and with One-Sided Error. - Jyrki Kivinen (Math. Syst. Theory, 1995)

Approximate Inference of Functional Dependencies from Relations. - Jyrki Kivinen; Heikki Mannila (Theor. Comput. Sci., 1995)

The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). - Jyrki Kivinen; Manfred K. Warmuth; Peter Auer (Artif. Intell., 1997)

Exponentiated Gradient Versus Gradient Descent for Linear Predictors. - Jyrki Kivinen; Manfred K. Warmuth (Inf. Comput., 1997)

Sequential Prediction of Individual Sequences Under General Loss Functions. - David Haussler; Jyrki Kivinen; Manfred K. Warmuth (IEEE Trans. Inf. Theory, 1998)

Boosting as Entropy Projection. - Jyrki Kivinen; Manfred K. Warmuth (COLT, 1999)

Averaging Expert Predictions - Jyrki Kivinen; Manfred K. Warmuth (EuroCOLT, 1999)

Relative loss bounds for single neurons. - David P. Helmbold; Jyrki Kivinen; Manfred K. Warmuth (IEEE Trans. Neural Networks, 1999)

Relative Loss Bounds for Multidimensional Regression Problems. - Jyrki Kivinen; Manfred K. Warmuth (Mach. Learn., 2001)

Large Margin Classification for Moving Targets. - Jyrki Kivinen; Alexander J. Smola; Robert C. Williamson (ALT, 2002)

Online Learning of Linear Classifiers. - Jyrki Kivinen (Machine Learning Summer School, 2002)

Guest Editor's Introduction. - Jyrki Kivinen (Mach. Learn., 2002)

Channel equalization and the Bayes point machine. - Edward Harrington; Jyrki Kivinen; Robert C. Williamson (ICASSP (4), 2003)

Online Bayes Point Machines. - Edward Harrington; Ralf Herbrich; Jyrki Kivinen; John C. Platt; Robert C. Williamson (PAKDD, 2003)

Online learning with kernels. - Jyrki Kivinen; Alexander J. Smola; Robert C. Williamson (IEEE Trans. Signal Process., 2004)

The p-norm generalization of the LMS algorithm for adaptive filtering. - Jyrki Kivinen; Manfred K. Warmuth; Babak Hassibi (IEEE Trans. Signal Process., 2006)

Mixed Bregman Clustering with Approximation Guarantees. - Richard Nock; Panu Luosto; Jyrki Kivinen (ECML/PKDD (2), 2008)

Attribute-Efficient Learning. - Jyrki Kivinen (Encyclopedia of Algorithms, 2008)

Hedging Structured Concepts. - Wouter M. Koolen; Manfred K. Warmuth; Jyrki Kivinen (COLT, 2010)

Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle. - Panu Luosto; Jyrki Kivinen; Heikki Mannila (Discovery Science, 2010)

Editors' Introduction. - Jyrki Kivinen; Csaba Szepesvári; Esko Ukkonen; Thomas Zeugmann (ALT, 2011)

Guest Editors' introduction. - Jyrki Kivinen; Csaba Szepesvári; Thomas Zeugmann (Theor. Comput. Sci., 2014)

Attribute-Efficient Learning. - Jyrki Kivinen (Encyclopedia of Algorithms, 2016)