Research output

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1997
Published
The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant
Auer, P., Kivinen, J. & Warmuth, M. K., 1997, In: Artificial intelligence. p. 325-343
Research output: Contribution to journal › Article › Research › peer-review
1996
Published
Exponentially Many Local Minima for Single Neurons
Auer, P., Herbster, M. & Warmuth, M. K., 1996, Advances in Neural Information Processing System 8. MIT Press, p. 316-322
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Learning of Depth Two Neurals Nets with Constant Fan-in at the Hidden Nodes
Auer, P., Kwek, S., Maass, W. & Warmuth, M. K., 1996, Proc. of the Ninth Annual ACM Conference on Computational Learning Theory. p. 333-343
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Limit Laws for the Maximal and Minimal Increments of the Poisson Process
Auer, P. & Hornik, K., 1996, In: Studia Scientiarum Mathematicarum Hungarica. 31, p. 1-13
Research output: Contribution to journal › Article › Research › peer-review
Published
The Number of Points of an Empirical or (Poisson) Process Covered by Unions of Sets
Auer, P. & Hornik, K., 1996, In: Journal of multivariate analysis (JMVAAI). p. 37-51
Research output: Contribution to journal › Article › Research › peer-review
Published
Tight Bounds on the Cumulative Profit of Distributed Voters
Auer, P., Caianiello, P. & Cesa-Bianchi, N., 1996, Proc. of the 15th Annual ACM Symposium on Principles of Distributed Computing. p. 312-312
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
1995
Published
Gambling in a Rigged Casino: The Adversarial Multi-Armed Bandit Problem
Auer, P., Cesa-Bianchi, N., Freund, Y. & Schapire, R. E., 1995, 36th Annual Symposium on Foundations of Computer Science. p. 322-331
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
Learning Nested Differences in the Presence of Malicious Noise
Auer, P., 1995, 6th International Workshop, ALT 95. p. 123-137
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Published
On the Complexity of Function Learning
Auer, P., Long, P. M., Maass, W. & Wöginger, G. J., 1995, In: Machine learning. 18, p. 187-230
Research output: Contribution to journal › Article › Research › peer-review
Published
Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees
Auer, P., Holte, R. C. & Maass, W., 1995, Proc. of the 12th International Machine Learning Conference. p. 21-29
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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Research Portal

Research output

The Perceptron algorithm vs. Winnow: linear vs. logarithmic mistake bounds when few input variables are relevant

Exponentially Many Local Minima for Single Neurons

Learning of Depth Two Neurals Nets with Constant Fan-in at the Hidden Nodes

Limit Laws for the Maximal and Minimal Increments of the Poisson Process

The Number of Points of an Empirical or (Poisson) Process Covered by Unions of Sets

Tight Bounds on the Cumulative Profit of Distributed Voters

Gambling in a Rigged Casino: The Adversarial Multi-Armed Bandit Problem

Learning Nested Differences in the Presence of Malicious Noise

On the Complexity of Function Learning

Theory and Applications of Agnostic (PAC)-Learning with Small Decision Trees

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