Nicol N. Schraudolph

	2010
39		Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph: A Quasi-Newton Approach to Nonsmooth Convex Optimization Problems in Machine Learning. Journal of Machine Learning Research 11: 1145-1200 (2010)
38		S. V. N. Vishwanathan, Nicol N. Schraudolph, Risi Imre Kondor, Karsten M. Borgwardt: Graph Kernels. Journal of Machine Learning Research 11: 1201-1242 (2010)
	2009
37		Peter Sunehag, Jochen Trumpf, S. V. N. Vishwanathan, Nicol N. Schraudolph: Variable Metric Stochastic Approximation Theory. Journal of Machine Learning Research - Proceedings Track 5: 560-566 (2009)
	2008
36		Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph: Using an adaptive VAR Model for motion prediction in 3D hand tracking. FG 2008: 1-8
35		Jin Yu, S. V. N. Vishwanathan, Simon Günter, Nicol N. Schraudolph: A quasi-Newton approach to non-smooth convex optimization. ICML 2008: 1216-1223
34		Zhidong 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
33		Zhidong 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
32		Nicol N. Schraudolph, Dmitry Kamenetsky: Efficient Exact Inference in Planar Ising Models. NIPS 2008: 1417-1424
31		S. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph: Graph Kernels CoRR abs/0807.0093: (2008)
30		Nicol N. Schraudolph, Dmitry Kamenetsky: Efficient Exact Inference in Planar Ising Models CoRR abs/0810.4401: (2008)
	2007
29		Desmond Chik, Jochen Trumpf, Nicol N. Schraudolph: 3D Hand Tracking in a Stochastic Approximation Setting. Workshop on Human Motion 2007: 136-151
28		Nicol N. Schraudolph: Correction to "Gradient-Based Manipulation of Nonparametric Entropy Estimates" [Jul 04 828-837]. IEEE Transactions on Neural Networks 18(2): 609 (2007)
27		Matthieu 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)
26		Simon Günter, Nicol N. Schraudolph, S. V. N. Vishwanathan: Fast Iterative Kernel Principal Component Analysis. Journal of Machine Learning Research 8: 1893-1918 (2007)
25		Nicol N. Schraudolph, Jin Yu, Simon Günter: A Stochastic Quasi-Newton Method for Online Convex Optimization. Journal of Machine Learning Research - Proceedings Track 2: 436-443 (2007)
	2006
24		S. 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
23		Nicol N. Schraudolph, Simon Günter, S. V. N. Vishwanathan: Fast Iterative Kernel PCA. NIPS 2006: 1225-1232
22		S. V. N. Vishwanathan, Karsten M. Borgwardt, Nicol N. Schraudolph: Fast Computation of Graph Kernels. NIPS 2006: 1449-1456
21		Markus 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
20		S. 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
19		Nicol N. Schraudolph, Douglas Aberdeen, Jin Yu: Fast Online Policy Gradient Learning with SMD Gain Vector Adaptation. NIPS 2005
18		Dirk 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)
	2004
17		Nicol N. Schraudolph: Gradient-based manipulation of nonparametric entropy estimates. IEEE Transactions on Neural Networks 15(4): 828-837 (2004)
	2002
16		Nicol N. Schraudolph, Thore Graepel: Conjugate Directions for Stochastic Gradient Descent. ICANN 2002: 1351-1358
15		Thore Graepel, Nicol N. Schraudolph: Stable Adaptive Momentum for Rapid Online Learning in Nonlinear Systems. ICANN 2002: 450-455
14		Felix A. Gers, Nicol N. Schraudolph, Jürgen Schmidhuber: Learning Precise Timing with LSTM Recurrent Networks. Journal of Machine Learning Research 3: 115-143 (2002)
13		Nicol N. Schraudolph: Fast Curvature Matrix-Vector Products for Second-Order Gradient Descent. Neural Computation 14(7): 1723-1738 (2002)
	2001
12		Nicol N. Schraudolph: Fast Curvature Matrix-Vector Products. ICANN 2001: 19-26
11		Magdalena Klapper-Rybicka, Nicol N. Schraudolph, Jürgen Schmidhuber: Unsupervised Learning in LSTM Recurrent Neural Networks. ICANN 2001: 684-691
	1999
10		Nicol 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
8		Nicol N. Schraudolph: Centering Neural Network Gradient Factors. Neural Networks: Tricks of the Trade 1996: 207-226
	1995
7		Nicol N. Schraudolph, Terrence J. Sejnowski: Tempering Backpropagation Networks: Not All Weights are Created Equal. NIPS 1995: 563-569
6		Paul A. Viola, Nicol N. Schraudolph, Terrence J. Sejnowski: Empirical Entropy Manipulation for Real-World Problems. NIPS 1995: 851-857
	1994
5		Nicol N. Schraudolph, Terrence J. Sejnowski: Plasticity-Mediated Competitive Learning. NIPS 1994: 475-480
	1993
4		Nicol N. Schraudolph, Peter Dayan, Terrence J. Sejnowski: Temporal Difference Learning of Position Evaluation in the Game of Go. NIPS 1993: 817-824
	1992
3		Nicol 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
1		Nicol N. Schraudolph, Terrence J. Sejnowski: Competitive Anti-Hebbian Learning of Invariants. NIPS 1991: 1017-1024

Coauthor Index

1	Douglas Aberdeen	[19]
2	Yves Barral	[21]
3	Richard K. Belew	[2]
4	Karsten M. Borgwardt	[22] [31] [38]
5	Matthieu Bray	[27]
6	Dirk Büche	[18]
7	Jing Chen	[33] [34]
8	Desmond Chik	[29] [36]
9	Adrian Chong	[33]
10	Peter Dayan	[4]
11	Markus T. Friberg	[21]
12	Felix A. Gers	[14]
13	Xavier Giannakopoulos	[10]
14	Gaston H. Gonnet	[21]
15	Pedro Gonnet	[21]
16	Luc J. Van Gool	[27]
17	Thore Graepel	[15] [16]
18	Simon Günter	[23] [25] [26] [35] [39]
19	Dmitry Kamenetsky	[30] [32]
20	Magdalena Klapper-Rybicka	[11]
21	Esther Koller-Meier	[27]
22	Risi Imre Kondor	[31] [38]
23	Petros Koumoutsakos	[18]
24	Zhidong Li	[33] [34]
25	Kevin P. Murphy	[24]
26	Jürgen Schmidhuber	[11] [14]
27	Mark W. Schmidt	[24]
28	Terrence J. Sejnowski	[1] [3] [4] [5] [6] [7]
29	Alexander J. Smola (Alex J. Smola)	[20]
30	Peter Sunehag	[37]
31	Jochen Trumpf	[29] [36] [37]
32	Paul A. Viola	[6]
33	S. V. N. Vishwanathan (Vishy Vishwanathan)	[20] [22] [23] [24] [26] [31] [35] [37] [38] [39]
34	Jin Yu	[19] [25] [35] [39]
35	Zhenghua Yu	[33]

Colors in the list of coauthors

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