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Nicol N. Schraudolph

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2008
33EEDesmond Chik, Jochen Trumpf, Nicol N. Schraudolph: Using an adaptive VAR Model for motion prediction in 3D hand tracking. FG 2008: 1-8
32EEJin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph: A quasi-Newton approach to non-smooth convex optimization. ICML 2008: 1216-1223
31EEZhidong Li, Jing Chen, Nicol N. Schraudolph: An improved mean-shift tracker with kernel prediction and scale optimisation targeting for low-frame-rate video tracking. ICPR 2008: 1-4
30EEZhidong Li, Jing Chen, Adrian Chong, Zhenghua Yu, Nicol N. Schraudolph: Using stochastic gradient-descent scheme in appearance model based face tracking. MMSP 2008: 640-645
29EENicol N. Schraudolph, Dmitry Kamenetsky: Efficient Exact Inference in Planar Ising Models. NIPS 2008: 1417-1424
28EES. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph: Graph Kernels CoRR abs/0807.0093: (2008)
27EENicol N. Schraudolph, Dmitry Kamenetsky: Efficient Exact Inference in Planar Ising Models CoRR abs/0810.4401: (2008)
2007
26EEDesmond Chik, Jochen Trumpf, Nicol N. Schraudolph: 3D Hand Tracking in a Stochastic Approximation Setting. Workshop on Human Motion 2007: 136-151
25EENicol N. Schraudolph: Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837]. IEEE Transactions on Neural Networks 18(2): 609 (2007)
24EEMatthieu Bray, Esther Koller-Meier, Nicol N. Schraudolph, Luc J. Van Gool: Fast stochastic optimization for articulated structure tracking. Image Vision Comput. 25(3): 352-364 (2007)
2006
23EES. V. N. Vishwanathan, Nicol N. Schraudolph, Mark W. Schmidt, Kevin P. Murphy: Accelerated training of conditional random fields with stochastic gradient methods. ICML 2006: 969-976
22EENicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan: Fast Iterative Kernel PCA. NIPS 2006: 1225-1232
21EES. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph: Fast Computation of Graph Kernels. NIPS 2006: 1449-1456
20EEMarkus T. Friberg, Pedro Gonnet, Yves Barral, Nicol N. Schraudolph, Gaston H. Gonnet: Measures of Codon Bias in Yeast, the tRNA Pairing Index and Possible DNA Repair Mechanisms. WABI 2006: 1-11
19EES. V. N. Vishwanathan, Nicol N. Schraudolph, Alex J. Smola: Step Size Adaptation in Reproducing Kernel Hilbert Space. Journal of Machine Learning Research 7: 1107-1133 (2006)
2005
18EENicol N. Schraudolph, Douglas Aberdeen, Jin Yu: Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. NIPS 2005
17EEDirk Büche, Nicol N. Schraudolph, Petros Koumoutsakos: Accelerating evolutionary algorithms with Gaussian process fitness function models. IEEE Transactions on Systems, Man, and Cybernetics, Part C 35(2): 183-194 (2005)
2002
16EENicol N. Schraudolph, Thore Graepel: Conjugate Directions for Stochastic Gradient Descent. ICANN 2002: 1351-1358
15EEThore Graepel, Nicol N. Schraudolph: Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. ICANN 2002: 450-455
14EEFelix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)
13EENicol N. Schraudolph: Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent. Neural Computation 14(7): 1723-1738 (2002)
2001
12EENicol N. Schraudolph: Fast Curvature Matrix-Vector Products. ICANN 2001: 19-26
11EEMagdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber: Unsupervised Learning in LSTM Recurrent Neural Networks. ICANN 2001: 684-691
1999
10EENicol N. Schraudolph, Xavier Giannakopoulos: Online Independent Component Analysis with Local Learning Rate Adaptation. NIPS 1999: 789-795
9 Nicol N. Schraudolph: A Fast, Compact Approximation of the Exponential Function. Neural Computation 11(4): 853-862 (1999)
1996
8EENicol N. Schraudolph: Centering Neural Network Gradient Factors. Neural Networks: Tricks of the Trade 1996: 207-226
1995
7EENicol N. Schraudolph, Terrence J. Sejnowski: Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995: 563-569
6EEPaul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski: Empirical Entropy Manipulation for Real-World Problems. NIPS 1995: 851-857
1994
5EENicol N. Schraudolph, Terrence J. Sejnowski: Plasticity-Mediated Competitive Learning. NIPS 1994: 475-480
1993
4EENicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
1992
3EENicol N. Schraudolph, Terrence J. Sejnowski: Unsupervised Discrimination of Clustered Data via Optimization of Binary Information Gain. NIPS 1992: 499-506
2 Nicol N. Schraudolph, Richard K. Belew: Dynamic Parameter Encoding for Genetic Algorithms. Machine Learning 9: 9-21 (1992)
1991
1EENicol N. Schraudolph, Terrence J. Sejnowski: Competitive Anti-Hebbian Learning of Invariants. NIPS 1991: 1017-1024

Coauthor Index

1Douglas Aberdeen [18]
2Yves Barral [20]
3Richard K. Belew [2]
4Karsten M. Borgwardt [21] [28]
5Matthieu Bray [24]
6Dirk Büche [17]
7Jing Chen [30] [31]
8Desmond Chik [26] [33]
9Adrian Chong [30]
10Peter Dayan [4]
11Markus T. Friberg [20]
12Felix A. Gers [14]
13Xavier Giannakopoulos [10]
14Gaston H. Gonnet [20]
15Pedro Gonnet [20]
16Luc J. Van Gool [24]
17Thore Graepel [15] [16]
18Simon Günter [22] [32]
19Dmitry Kamenetsky [27] [29]
20Magdalena Klapper-Rybicka [11]
21Esther Koller-Meier [24]
22Risi Imre Kondor [28]
23Petros Koumoutsakos [17]
24Zhidong Li [30] [31]
25Kevin P. Murphy [23]
26Jürgen Schmidhuber [11] [14]
27Mark W. Schmidt [23]
28Terrence J. Sejnowski [1] [3] [4] [5] [6] [7]
29Alexander J. Smola (Alex J. Smola) [19]
30Jochen Trumpf [26] [33]
31Paul A. Viola [6]
32S. V. N. Vishwanathan (Vishy Vishwanathan) [19] [21] [22] [23] [28] [32]
33Jin Yu [18] [32]
34Zhenghua Yu [30]

Colors in the list of coauthors

Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)