Manfred K. Warmuth
Affiliations:- University of California, Santa Cruz, USA
According to our database1,
Manfred K. Warmuth
authored at least 185 papers
between 1984 and 2024.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on zbmath.org
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on id.loc.gov
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on cse.ucsc.edu
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on dl.acm.org
On csauthors.net:
Bibliography
2024
Proceedings of the International Conference on Algorithmic Learning Theory, 2024
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024
2023
Layerwise Bregman Representation Learning of Neural Networks with Applications to Knowledge Distillation.
Trans. Mach. Learn. Res., 2023
The Tempered Hilbert Simplex Distance and Its Application To Non-linear Embeddings of TEMs.
CoRR, 2023
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023
Proceedings of the Thirty Sixth Annual Conference on Learning Theory, 2023
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023
2022
Unlabeled sample compression schemes and corner peelings for ample and maximum classes.
J. Comput. Syst. Sci., 2022
Layerwise Bregman Representation Learning with Applications to Knowledge Distillation.
CoRR, 2022
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2022
2021
CoRR, 2021
A case where a spindly two-layer linear network decisively outperforms any neural network with a fully connected input layer.
Proceedings of the Algorithmic Learning Theory, 2021
2020
A case where a spindly two-layer linear network whips any neural network with a fully connected input layer.
CoRR, 2020
Interpolating Between Gradient Descent and Exponentiated Gradient Using Reparameterized Gradient Descent.
CoRR, 2020
Proceedings of the Thirty-Sixth Conference on Uncertainty in Artificial Intelligence, 2020
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020
Proceedings of the IEEE International Conference on Image Processing, 2020
Proceedings of the Conference on Learning Theory, 2020
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020
2019
Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Minimax experimental design: Bridging the gap between statistical and worst-case approaches to least squares regression.
Proceedings of the Conference on Learning Theory, 2019
Proceedings of the Algorithmic Learning Theory, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
Proceedings of the 22nd International Conference on Artificial Intelligence and Statistics, 2019
2018
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018
Proceedings of the International Conference on Artificial Intelligence and Statistics, 2018
2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017
2016
Proceedings of the Language and Automata Theory and Applications, 2016
Proceedings of the Algorithmic Learning Theory - 27th International Conference, 2016
2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
Proceedings of The 28th Conference on Learning Theory, 2015
2014
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014
Proceedings of The 27th Conference on Learning Theory, 2014
2013
Proceedings of the COLT 2013, 2013
Proceedings of the Algorithmic Learning Theory - 24th International Conference, 2013
2012
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012
2011
Proceedings of the Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011. Proceedings of a meeting held 12-14 December 2011, 2011
2010
Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010
Proceedings of the Sixth International Conference on Natural Computation, 2010
Proceedings of the Algorithmic Learning Theory, 21st International Conference, 2010
2009
Proceedings of the 26th Annual International Conference on Machine Learning, 2009
2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
Proceedings of the 21st Annual Conference on Learning Theory, 2008
Proceedings of the Algorithmic Learning Theory, 19th International Conference, 2008
2007
Proceedings of the Advances in Neural Information Processing Systems 20, 2007
Proceedings of the Machine Learning, 2007
Proceedings of the Learning Theory, 20th Annual Conference on Learning Theory, 2007
2006
IEEE Trans. Signal Process., 2006
Proceedings of the UAI '06, 2006
Proceedings of the Advances in Neural Information Processing Systems 19, 2006
Proceedings of the Machine Learning, 2006
Can Entropic Regularization Be Replaced by Squared Euclidean Distance Plus Additional Linear Constraints.
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
Proceedings of the Learning Theory, 19th Annual Conference on Learning Theory, 2006
2005
J. Mach. Learn. Res., 2005
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
Proceedings of the Learning Theory, 18th Annual Conference on Learning Theory, 2005
2004
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004
Proceedings of the Learning Theory, 17th Annual Conference on Learning Theory, 2004
2003
J. Chem. Inf. Comput. Sci., 2003
Proceedings of the Advances in Neural Information Processing Systems 16 [Neural Information Processing Systems, 2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the 8th European Conference on Speech Communication and Technology, EUROSPEECH 2003, 2003
Proceedings of the Computational Learning Theory and Kernel Machines, 2003
2002
Theor. Comput. Sci., 2002
Theor. Comput. Sci., 2002
J. Mach. Learn. Res., 2002
Proceedings of the Advances in Neural Information Processing Systems 15 [Neural Information Processing Systems, 2002
Proceedings of the Computational Learning Theory, 2002
2001
Relative Loss Bounds for On-Line Density Estimation with the Exponential Family of Distributions.
Mach. Learn., 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001
2000
Electron. Colloquium Comput. Complex., 2000
The Minimax Strategy for Gaussian Density Estimation. pp.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
Barrier Boosting.
Proceedings of the Thirteenth Annual Conference on Computational Learning Theory (COLT 2000), June 28, 2000
Proceedings of the Algorithmic Learning Theory, 11th International Conference, 2000
1999
Relative Loss Bounds for On-line Density Estirnation with the Exponential Family of Distributions.
Proceedings of the UAI '99: Proceedings of the Fifteenth Conference on Uncertainty in Artificial Intelligence, Stockholm, Sweden, July 30, 1999
Proceedings of the Computational Learning Theory, 4th European Conference, 1999
Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999
1998
IEEE Trans. Inf. Theory, 1998
Batch and On-Line Parameter Estimation of Gaussian Mixtures Based on the Joint Entropy.
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Proceedings of the Advances in Neural Information Processing Systems 11, [NIPS Conference, Denver, Colorado, USA, November 30, 1998
Proceedings of the Eleventh Annual Conference on Computational Learning Theory, 1998
1997
Mach. Learn., 1997
Inf. Comput., 1997
The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note).
Artif. Intell., 1997
Proceedings of the Twenty-Ninth Annual ACM Symposium on the Theory of Computing, 1997
Relative Loss Bounds, the Minimum Relative Entropy Principle, and EM.
Proceedings of the Advances in Neural Information Processing Systems 10, 1997
Proceedings of the Computational Learning Theory, Third European Conference, 1997
1996
Worst-case quadratic loss bounds for prediction using linear functions and gradient descent.
IEEE Trans. Neural Networks, 1996
Mach. Learn., 1996
Proceedings of the Advances in Neural Information Processing Systems 9, 1996
On-Line Portfolio Selection Using Multiplicative Updates.
Proceedings of the Machine Learning, 1996
Learning of Depth Two Neural Networks with Constant Fan-In at the Hidden Nodes (Extended Abstract).
Proceedings of the Ninth Annual Conference on Computational Learning Theory, 1996
1995
Mach. Learn., 1995
Proceedings of the Twenty-Seventh Annual ACM Symposium on Theory of Computing, 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Advances in Neural Information Processing Systems 8, 1995
Proceedings of the Computational Learning Theory, Second European Conference, 1995
The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant.
Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995
1994
Inf. Comput., September, 1994
The Distributed Bit Complexity of the Ring: From the Anonymous to the Non-anonymous Case
Inf. Comput., January, 1994
Bounds on approximate steepest descent for likelihood maximization in exponential families.
IEEE Trans. Inf. Theory, 1994
1993
J. ACM, 1993
Using experts for predicting continuous outcomes.
Proceedings of the First European Conference on Computational Learning Theory, 1993
Proceedings of the Sixth Annual ACM Conference on Computational Learning Theory, 1993
1992
On the Computational Complexity of Approximating Distributions by Probabilistic Automata.
Mach. Learn., 1992
Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992
1991
Polynomial Learnability of Probabilistic Concepts with Respect to the Kullback-Leibler Divergence.
Proceedings of the Fourth Annual Workshop on Computational Learning Theory, 1991
1990
Mach. Learn., 1990
1989
SIAM J. Comput., 1989
The Minimum Consistent DFA Problem Cannot be Approximated within any Polynomial (abstract).
Proceedings of the Proceedings: Fourth Annual Structure in Complexity Theory Conference, 1989
Proceedings of the Analogical and Inductive Inference, 1989
1988
Proceedings of the 29th Annual Symposium on Foundations of Computer Science, 1988
Proceedings of the First Annual Workshop on Computational Learning Theory, 1988
Proceedings of the Proceedings: Third Annual Structure in Complexity Theory Conference, 1988
1987
1986
J. Parallel Distributed Comput., 1986
J. Comput. Syst. Sci., 1986
Classifying Learnable Geometric Concepts with the Vapnik-Chervonenkis Dimension (Extended Abstract)
Proceedings of the 18th Annual ACM Symposium on Theory of Computing, 1986
Proceedings of the 5th National Conference on Artificial Intelligence. Philadelphia, 1986
1985
Theor. Comput. Sci., 1985
1984