Schraudolph, Nicol N.

25 publications

JMLR 2010 A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning Jin Yu, S.V.N. Vishwanathan, Simon Günter, Nicol N. Schraudolph

JMLR 2010 Graph Kernels S.V.N. Vishwanathan, Nicol N. Schraudolph, Risi Kondor, Karsten M. Borgwardt

ICML 2008 A Quasi-Newton Approach to Non-Smooth Convex Optimization Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph

NeurIPS 2008 Efficient Exact Inference in Planar Ising Models Nicol N. Schraudolph, Dmitry Kamenetsky

AISTATS 2007 A Stochastic Quasi-Newton Method for Online Convex Optimization Nicol N. Schraudolph, Jin Yu, Simon Günter

JMLR 2007 Fast Iterative Kernel Principal Component Analysis Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan

ICML 2006 Accelerated Training of Conditional Random Fields with Stochastic Gradient Methods S. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy

NeurIPS 2006 Fast Computation of Graph Kernels Karsten Borgwardt, Nicol N. Schraudolph, S.v.n. Vishwanathan

NeurIPS 2006 Fast Iterative Kernel PCA Nicol N. Schraudolph, Simon Günter, S.v.n. Vishwanathan

JMLR 2006 Step Size Adaptation in Reproducing Kernel Hilbert Space S. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola

NeurIPS 2005 Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation Jin Yu, Douglas Aberdeen, Nicol N. Schraudolph

CVPR 2004 Stochastic Meta-Descent for Tracking Articulated Structures Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool

CVPRW 2004 Stochastic Meta-Descent for Tracking Articulated Structures Matthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc Van Gool

AISTATS 2003 Combining Conjugate Direction Methods with Stochastic Approximation of Gradients Nicol N. Schraudolph, Thore Graepel

NeCo 2002 Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent Nicol N. Schraudolph

JMLR 2002 Learning Precise Timing with LSTM Recurrent Networks Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber

NeCo 1999 A Fast, Compact Approximation of the Exponential Function Nicol N. Schraudolph

NeurIPS 1999 Online Independent Component Analysis with Local Learning Rate Adaptation Nicol N. Schraudolph, Xavier Giannakopoulos

NeurIPS 1995 Empirical Entropy Manipulation for Real-World Problems Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski

NeurIPS 1995 Tempering Backpropagation Networks: Not All Weights Are Created Equal Nicol N. Schraudolph, Terrence J. Sejnowski

NeurIPS 1994 Plasticity-Mediated Competitive Learning Nicol N. Schraudolph, Terrence J. Sejnowski

NeurIPS 1993 Temporal Difference Learning of Position Evaluation in the Game of Go Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski

MLJ 1992 Dynamic Parameter Encoding for Genetic Algorithms Nicol N. Schraudolph, Richard K. Belew

NeurIPS 1992 Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain Nicol N. Schraudolph, Terrence J. Sejnowski

NeurIPS 1991 Competitive Anti-Hebbian Learning of Invariants Nicol N. Schraudolph, Terrence J. Sejnowski