 | Williamson, Robert C. (Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson) -- The importance of convexity in learning with squared loss - 1996 |
| Williamson, Robert C. (Kim L. Blackmore, Robert C. Williamson, Iven M. Y. Mareels and William A. Sethares) -- Online learning via congregational gradient descent - 1995 |
| Williamson, Robert C. (Jyrki Kivinen, Alex J. Smola and Robert C. Williamson) -- Large Margin Classification for Moving Targets - 2002 |
| Williamson, Robert C. (John Shawe-Taylor and Robert C. Williamson) -- A PAC Analysis of a Bayesian Estimator - 1997 |
| Williamson, Robert C. (Wee Sun Lee, Peter L. Bartlett and Robert C. Williamson) -- On efficient agnostic learning of linear combinations of basis functions - 1995 |
| Williamson, Robert C. (Ying Guo, Peter L. Bartlett, John Shawe-Taylor and Robert C. Williamson) -- Covering numbers for support vector machines - 1999 |
| Williamson, Robert C. (Alex J. Smola, Robert C. Williamson, Sebastian Mika and Bernhard Schölkopf) -- Regularized Principal Manifolds - 1999 |
| Williamson, Robert C. (John Shawe-Taylor, Peter L. Bartlett, Robert C. Williamson and Martin Anthony) -- A framework for structural risk minimization - 1996 |
| Williamson, Robert C. (Peter L. Bartlett, Philip M. Long and Robert C. Williamson) -- Fat-shattering and the learnability of real-valued functions - 1996 |
| Williamson, Robert C. (Robert C. Williamson, Alex J. Smola and Bernhard Schölkopf) -- Entropy Numbers, Operators and Support Vector Kernels - 1999 |
| Williamson, Robert C. (Robert C. Williamson, Alex J. Smola and Bernhard Schölkopf) -- Entropy Numbers of Linear Function Classes - 2000 |
| Williamson, Robert C. (Shahar Mendelson and Robert C. Williamson) -- Agnostic Learning Nonconvex Function Classes - 2002 |
