Nicol N. Schraudolph

According to our database1, Nicol N. Schraudolph authored at least 43 papers between 1991 and 2012.

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Bibliography

2012
Centering Neural Network Gradient Factors.
Proceedings of the Neural Networks: Tricks of the Trade - Second Edition, 2012

2010
A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning.
Journal of Machine Learning Research, 2010

Graph Kernels.
Journal of Machine Learning Research, 2010

2009
Variable Metric Stochastic Approximation Theory.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

2008
Efficient Exact Inference in Planar Ising Models
CoRR, 2008

Graph Kernels
CoRR, 2008

Efficient Exact Inference in Planar Ising Models.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Using stochastic gradient-descent scheme in appearance model based face tracking.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking.
Proceedings of the 19th International Conference on Pattern Recognition (ICPR 2008), 2008

A quasi-Newton approach to non-smooth convex optimization.
Proceedings of the Machine Learning, 2008

Using an adaptive VAR Model for motion prediction in 3D hand tracking.
Proceedings of the 8th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2008), 2008

2007
Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837].
IEEE Trans. Neural Networks, 2007

A Stochastic Quasi-Newton Method for Online Convex Optimization.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Fast Iterative Kernel Principal Component Analysis.
Journal of Machine Learning Research, 2007

Fast stochastic optimization for articulated structure tracking.
Image Vision Comput., 2007

3D Hand Tracking in a Stochastic Approximation Setting.
Proceedings of the Human Motion, 2007

2006
Step Size Adaptation in Reproducing Kernel Hilbert Space.
Journal of Machine Learning Research, 2006

Measures of Codon Bias in Yeast, the tRNA Pairing Index and Possible DNA Repair Mechanisms.
Proceedings of the Algorithms in Bioinformatics, 6th International Workshop, 2006

Fast Computation of Graph Kernels.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Fast Iterative Kernel PCA.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Accelerated training of conditional random fields with stochastic gradient methods.
Proceedings of the Machine Learning, 2006

2005
Accelerating evolutionary algorithms with Gaussian process fitness function models.
IEEE Trans. Systems, Man, and Cybernetics, Part C, 2005

Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 18 [Neural Information Processing Systems, 2005

Step size-adapted online support vector learning.
Proceedings of the Eighth International Symposium on Signal Processing and Its Applications, 2005

2004
Gradient-based manipulation of nonparametric entropy estimates.
IEEE Trans. Neural Networks, 2004

Stochastic Meta-Descent for Tracking Articulated Structures.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2004

2003
Combining Conjugate Direction Methods with Stochastic Approximation of Gradients.
Proceedings of the Ninth International Workshop on Artificial Intelligence and Statistics, 2003

2002
Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent.
Neural Computation, 2002

Learning Precise Timing with LSTM Recurrent Networks.
Journal of Machine Learning Research, 2002

Conjugate Directions for Stochastic Gradient Descent.
Proceedings of the Artificial Neural Networks, 2002

Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems.
Proceedings of the Artificial Neural Networks, 2002

2001
Fast Curvature Matrix-Vector Products.
Proceedings of the Artificial Neural Networks, 2001

Unsupervised Learning in LSTM Recurrent Neural Networks.
Proceedings of the Artificial Neural Networks, 2001

1999
A Fast, Compact Approximation of the Exponential Function.
Neural Computation, 1999

Online Independent Component Analysis with Local Learning Rate Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 12, [NIPS Conference, Denver, Colorado, USA, November 29, 1999

1996
Centering Neural Network Gradient Factors.
Proceedings of the Neural Networks: Tricks of the Trade, 1996

1995
Empirical Entropy Manipulation for Real-World Problems.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Tempering Backpropagation Networks: Not All Weights are Created Equal.
Proceedings of the Advances in Neural Information Processing Systems 8, 1995

1994
Plasticity-Mediated Competitive Learning.
Proceedings of the Advances in Neural Information Processing Systems 7, 1994

1993
Temporal Difference Learning of Position Evaluation in the Game of Go.
Proceedings of the Advances in Neural Information Processing Systems 6, 1993

1992
Dynamic Parameter Encoding for Genetic Algorithms.
Machine Learning, 1992

Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain.
Proceedings of the Advances in Neural Information Processing Systems 5, [NIPS Conference, Denver, Colorado, USA, November 30, 1992

1991
Competitive Anti-Hebbian Learning of Invariants.
Proceedings of the Advances in Neural Information Processing Systems 4, 1991


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