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Robert C. Williamson
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Publications
- 2008
- [j41]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Correction to "The Importance of Convexity in Learning With Squared Loss". IEEE Trans. Inf. Theory 54(9): 4395 (2008) - 2002
- [j34]Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Robert C. Williamson:
Covering numbers for support vector machines. IEEE Trans. Inf. Theory 48(1): 239-250 (2002) - 2000
- [j27]Bernhard Schölkopf, Alexander J. Smola, Robert C. Williamson, Peter L. Bartlett:
New Support Vector Algorithms. Neural Comput. 12(5): 1207-1245 (2000) - 1999
- [c28]Ying Guo, Peter L. Bartlett, John Shawe-Taylor, Robert C. Williamson:
Covering Numbers for Support Vector Machines. COLT 1999: 267-277 - 1998
- [j22]John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony:
Structural Risk Minimization Over Data-Dependent Hierarchies. IEEE Trans. Inf. Theory 44(5): 1926-1940 (1998) - [j21]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
The Importance of Convexity in Learning with Squared Loss. IEEE Trans. Inf. Theory 44(5): 1974-1980 (1998) - [c18]Bernhard Schölkopf, Peter L. Bartlett, Alexander J. Smola, Robert C. Williamson:
Shrinking the Tube: A New Support Vector Regression Algorithm. NIPS 1998: 330-336 - 1997
- [j19]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Correction to 'Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes'. Neural Comput. 9(4): 765-769 (1997) - 1996
- [j16]Peter L. Bartlett, Philip M. Long, Robert C. Williamson:
Fat-Shattering and the Learnability of Real-Valued Functions. J. Comput. Syst. Sci. 52(3): 434-452 (1996) - [j15]Peter L. Bartlett, Robert C. Williamson:
The VC Dimension and Pseudodimension of Two-Layer Neural Networks with Discrete Inputs. Neural Comput. 8(3): 625-628 (1996) - [j13]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Efficient agnostic learning of neural networks with bounded fan-in. IEEE Trans. Inf. Theory 42(6): 2118-2132 (1996) - [c15]John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson, Martin Anthony:
A Framework for Structural Risk Minimisation. COLT 1996: 68-76 - [c14]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
The Importance of Convexity in Learning with Squared Loss. COLT 1996: 140-146 - 1995
- [j11]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Lower Bounds on the VC Dimension of Smoothly Parameterized Function Classes. Neural Comput. 7(5): 1040-1053 (1995) - [c11]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
On Efficient Agnostic Learning of Linear Combinations of Basis Functions. COLT 1995: 369-376 - [c9]Adam Kowalczyk, Jacek Szymanski, Peter L. Bartlett, Robert C. Williamson:
Examples of learning curves from a modified VC-formalism. NIPS 1995: 344-350 - 1994
- [c8]Peter L. Bartlett, Philip M. Long, Robert C. Williamson:
Fat-Shattering and the Learnability of Real-Valued Functions. COLT 1994: 299-310 - [c7]Wee Sun Lee, Peter L. Bartlett, Robert C. Williamson:
Lower Bounds on the VC-Dimension of Smoothly Parametrized Function Classes. COLT 1994: 362-367 - 1991
- [c4]Peter L. Bartlett, Robert C. Williamson:
Investigating the Distribution Assumptions in the Pac Learning Model. COLT 1991: 24-32 - [c2]Robert C. Williamson, Peter L. Bartlett:
Splines, Rational Functions and Neural Networks. NIPS 1991: 1040-1047
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