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Robert C. Williamson
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Estimating the support of a high-dimensional distribution
B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson
Neural computation 13 (7), 1443-1471, 2001
68662001
New support vector algorithms
B Schölkopf, AJ Smola, RC Williamson, PL Bartlett
Neural computation 12 (5), 1207-1245, 2000
34532000
Support vector method for novelty detection
B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt
Advances in neural information processing systems 12, 1999
22711999
A Generalized Representer Theorem
B Scholkopf, R Herbrich, A Smola, R Williamson
21432000
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
IEEE transactions on signal processing 52 (8), 2165-2176, 2004
13242004
Structural risk minimization over data-dependent hierarchies
J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony
IEEE transactions on Information Theory 44 (5), 1926-1940, 1998
7241998
Support vector method for novelty detection
B Scholkopf, R Williamson, A Smola, J Shawe-Taylor, J Platt
Advances in neural information processing systems 12 (3), 582-588, 2000
5962000
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds
RC Williamson, T Downs
International journal of approximate reasoning 4 (2), 89-158, 1990
5281990
Learning the kernel with hyperkernels
CS Ong, A Smola, B Williamson
Journal of Machine Learning Research 6, 1045-1071, 2005
4582005
Clustering: Science or art?
U von Luxburg, R Williamson, I Guyon
Journal of Machine Learning Research 27, 65-80, 2012
446*2012
Particle filtering algorithms for tracking an acoustic source in a reverberant environment
DB Ward, EA Lehmann, RC Williamson
IEEE Transactions on speech and audio processing 11 (6), 826-836, 2003
4322003
Theory and design of broadband sensor arrays with frequency invariant far‐field beam patterns
DB Ward, RA Kennedy, RC Williamson
The Journal of the Acoustical Society of America 97 (2), 1023-1034, 1995
3921995
The cost of fairness in binary classification
AK Menon, RC Williamson
Conference on Fairness, accountability and transparency, 107-118, 2018
3872018
Learning with symmetric label noise: The importance of being unhinged
B Van Rooyen, A Menon, RC Williamson
Advances in neural information processing systems 28, 2015
3022015
The need for open source software in machine learning
S Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ...
JMLR 8, 2443-2466, 2007
2632007
A PAC analysis of a Bayesian estimator
J Shawe-Taylor, RC Williamson
Proceedings of the tenth annual conference on Computational learning theory, 2-9, 1997
2621997
Shrinking the tube: a new support vector regression algorithm
B Schölkopf, P Bartlett, A Smola, RC Williamson
Advances in neural information processing systems 11, 1998
2551998
Learning from corrupted binary labels via class-probability estimation
A Menon, B Van Rooyen, CS Ong, B Williamson
International conference on machine learning, 125-134, 2015
2392015
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 11, 2387-2422, 2010
2242010
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators
RC Williamson, AJ Smola, B Scholkopf
IEEE transactions on Information Theory 47 (6), 2516-2532, 2001
2232001
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