Simon, Hans Ulrich

48 publications

JMLR 2024 MAP- and MLE-Based Teaching Hans Ulrich Simon, Jan Arne Telle

ALT 2016 Algorithmic Learning Theory - 27th International Conference, ALT 2016, Bari, Italy, October 19-21, 2016, Proceedings Ronald Ortner, Hans Ulrich Simon, Sandra Zilles

COLT 2016 Preference-Based Teaching Ziyuan Gao, Christoph Ries, Hans Ulrich Simon, Sandra Zilles

COLT 2015 An Almost Optimal PAC Algorithm Hans Ulrich Simon

ALT 2015 Hierarchical Design of Fast Minimum Disagreement Algorithms Malte Darnstädt, Christoph Ries, Hans Ulrich Simon

ALT 2015 On the Teaching Complexity of Linear Sets Ziyuan Gao, Hans Ulrich Simon, Sandra Zilles

COLT 2015 Open Problem: Recursive Teaching Dimension Versus VC Dimension Hans Ulrich Simon, Sandra Zilles

JMLR 2014 Recursive Teaching Dimension, VC-Dimension and Sample Compression Thorsten Doliwa, Gaojian Fan, Hans Ulrich Simon, Sandra Zilles

ALT 2013 Order Compression Schemes Malte Darnstädt, Thorsten Doliwa, Hans Ulrich Simon, Sandra Zilles

COLT 2011 A Close Look to Margin Complexity and Related Parameters Michael Kallweit, Hans Ulrich Simon

ALT 2011 Supervised Learning and Co-Training Malte Darnstädt, Hans Ulrich Simon, Balázs Szörényi

ALT 2010 Recursive Teaching Dimension, Learning Complexity, and Maximum Classes Thorsten Doliwa, Hans Ulrich Simon, Sandra Zilles

COLT 2009 SVM-Optimization and Steepest-Descent Line Search Hans Ulrich Simon, Nikolas List

ALT 2009 Smart PAC-Learners Hans Ulrich Simon

COLT 2008 Dimension and Margin Bounds for Reflection-Invariant Kernels Thorsten Doliwa, Michael Kallweit, Hans Ulrich Simon

JMLR 2007 General Polynomial Time Decomposition Algorithms Nikolas List, Hans Ulrich Simon

MLJ 2007 Introduction to the Special Issue on COLT 2006 Avrim Blum, Gábor Lugosi, Hans Ulrich Simon

COLT 2007 Stability of K -Means Clustering Shai Ben-David, Dávid Pál, Hans Ulrich Simon

COLT 2006 Learning Theory, 19th Annual Conference on Learning Theory, COLT 2006, Pittsburgh, PA, USA, June 22-25, 2006, Proceedings Gábor Lugosi, Hans Ulrich Simon

ALT 2006 Spectral Norm in Learning Theory: Some Selected Topics Hans Ulrich Simon

ALT 2005 Algorithmic Learning Theory, 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita

ALT 2005 Editors' Introduction Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita

COLT 2005 General Polynomial Time Decomposition Algorithms Nikolas List, Hans Ulrich Simon

JMLR 2005 Inner Product Spaces for Bayesian Networks Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans Ulrich Simon

COLT 2004 A General Convergence Theorem for the Decomposition Method Nikolas List, Hans Ulrich Simon

COLT 2004 Bayesian Networks and Inner Product Spaces Atsuyoshi Nakamura, Michael Schmitt, Niels Schmitt, Hans Ulrich Simon

ALT 2004 On the Complexity of Working Set Selection Hans Ulrich Simon

MLJ 2003 Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces Jürgen Forster, Niels Schmitt, Hans Ulrich Simon, Thorsten Suttorp

ALT 2002 How to Achieve Minimax Expected Kullback-Leibler Distance from an Unknown Finite Distribution Dietrich Braess, Jürgen Forster, Tomas Sauer, Hans Ulrich Simon

JMLR 2002 Limitations of Learning via Embeddings in Euclidean Half Spaces Shai Ben-David, Nadav Eiron, Hans Ulrich Simon

ALT 2002 On the Smallest Possible Dimension and the Largest Possible Margin of Linear Arrangements Representing Given Concept Classes Uniform Distribution Jürgen Forster, Hans Ulrich Simon

COLT 2001 Estimating the Optimal Margins of Embeddings in Euclidean Half Spaces Jürgen Forster, Niels Schmitt, Hans Ulrich Simon

COLT 2001 How Many Queries Are Needed to Learn One Bit of Information? Hans Ulrich Simon

COLT 2001 Limitations of Learning via Embeddings in Euclidean Half-Spaces Shai Ben-David, Nadav Eiron, Hans Ulrich Simon

NeurIPS 2000 Efficient Learning of Linear Perceptrons Shai Ben-David, Hans-Ulrich Simon

COLT 2000 The Computational Complexity of Densest Region Detection Shai Ben-David, Nadav Eiron, Hans Ulrich Simon

ALT 1999 The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract) José L. Balcázar, Jorge Castro, David Guijarro, Hans Ulrich Simon

MLJ 1998 On Restricted-Focus-of-Attention Learnability of Boolean Functions Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jackson, Norbert Klasner, Hans Ulrich Simon

COLT 1998 Structural Results About Exact Learning with Unspecified Attribute Values Andreas Birkendorf, Norbert Klasner, Christian Kuhlmann, Hans Ulrich Simon

COLT 1996 On Restricted-Focus-of-Attention Learnability of Boolean Functions Andreas Birkendorf, Eli Dichterman, Jeffrey C. Jackson, Norbert Klasner, Hans Ulrich Simon

COLT 1995 From Noise-Free to Noise-Tolerant and from On-Line to Batch Learning Norbert Klasner, Hans Ulrich Simon

COLT 1993 General Bounds on the Number of Examples Needed for Learning Probabilistic Concepts Hans Ulrich Simon

ALT 1993 Neural Discriminant Analysis Jorge Ricardo Cuellar, Hans Ulrich Simon

COLT 1992 PAB-Decisions for Boolean and Real-Valued Features Svetlana Anoulova, Paul Fischer, Stefan Pölt, Hans Ulrich Simon

COLT 1992 Robust Trainability of Single Neurons Klaus-Uwe Höffgen, Hans Ulrich Simon

COLT 1991 Probably Almost Bayes Decisions Paul Fischer, Stefan Pölt, Hans Ulrich Simon

COLT 1990 On Learning Ring-Sum-Expansions Paul Fischer, Hans Ulrich Simon

COLT 1990 On the Number of Examples and Stages Needed for Learning Decision Trees Hans Ulrich Simon