Below are some of the papers I have had published. Clicking on the title will download a PDF copy of the paper.
Generalization Bounds. Mark D. Reid. Pre-print. To appear in the Encyclopedia of Machine Learning, September 2010.
Squinting at a Sea of Dots: Visualising Australian Readerships using Statistical Machine Learning. Julieanne Lamond and Mark D. Reid. Resourceful Reading: The New Empiricism, eResearch and Australian Literary Culture, January 2010.
Composite Binary Losses. Mark D. Reid and Robert C. Williamson. To appear in JMLR. (arXiv Preprint) 2010
Cross-training and its Application to Skill-Mining. Daniel Oblinger, Mark Reid, Mark Brodie, and Rodrigo de Salvo Braz. IBM Systems Journal (Vol. 41, No. 3), pp. 449-460, 2002
Convexity of Proper Composite Binary Losses. Mark D. Reid and Robert C. Williamson. Proc. of the Thirteenth International Conference on Artificial Intelligence and Statistics (AISTATS 2010), 2010
Kernel Conditional Quantile Estimation via Reduction Revisited. Novi Quadrianto, Kristian Kersting, Mark Reid, Tiberio Caetano, and Wray Buntine. In the Proc. of the IEEE International Conference on Data Mining (ICDM 2009), 2009
Generalised Pinsker Inequalities. (Slides) Mark D. Reid and Robert C. Williamson. In the Proc. of the 22nd Annual Conference on Learning Theory (COLT 2009), 2009
Surrogate Regret Bounds for Proper Losses. (Slides) Mark D. Reid and Robert C. Williamson. In the Proc. of the 26th International Conference on Machine Learning (ICML 2009), 2009
Improving Rule Evaluation Using Multitask Learning. Mark D. Reid. In the Proc. of the 14th International Conference on ILP, pp. 252-269, 2004
Using ILP to Improve Planning in Hierarchical Reinforcement Learning. Mark Reid and Malcolm Ryan. In the Proc. of the 10th International Conference on ILP, pp. 174-190, 2000
Learning to Fly: An Application of Hierarchical Reinforcement Learning. Malcolm Ryan and Mark Reid. In the Proc. of the 17th International Conference on Machine Learning, pp. 807-814, 2000
NRMIS: A Noise Resistant Model Inference System. Eric McCreath and Mark Reid. Discovery Science, pp. 252-263, 1999
DEFT Guessing: Using Inductive Transfer to Improve Rule Evaluation from Limited Data. Mark D. Reid. School of Computer Science and Engineering, The University of New South Wales, Sydney, Australia. 2007
Information, Divergence and Risk for Binary Experiments. Mark D. Reid and Robert C. Williamson. arXiv:0901.0356v1 [stat.ML], 2009
Determining Page Complexity. Barry James Drake and Mark Darren Reid. Australian Application Number: 2006252174, 2006