Nicol N. Schraudolph (Selection)

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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)

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)

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

31 S. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph: Graph Kernels CoRR abs/0807.0093: (2008)

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)

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

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)

Selection of 10 from 39 records - Nicol N. Schraudolph has 35 coauthors

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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)
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)
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
31		S. V. N. Vishwanathan, Karsten M. Borgwardt, Risi Imre Kondor, Nicol N. Schraudolph: Graph Kernels CoRR abs/0807.0093: (2008)
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)
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
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)