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Mark D. Reid
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Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
2152010
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
2052011
Fast rates in statistical and online learning
T van Erven, PD Grünwald, NA Mehta, MD Reid, RC Williamson
Journal of Machine Learning Research 16 (Sep), 1793−1861, 2015
1012015
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
592009
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
582009
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
572011
Composite multiclass losses
R Williamson, E Vernet, M Reid
MIT Press, 2016
472016
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures
A Ruderman, MD Reid, D García-García, J Petterson
International Conference on Machine Learning, 2012
472012
Kernel conditional quantile estimation via reduction revisited
N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine
2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009
402009
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
332012
Learning to fly: An application of hierarchical reinforcement learning
MRK Ryan, M Reid
Proceedings of the Seventeenth International Conference on Machine Learning …, 2000
282000
Mixability is Bayes risk curvature relative to log loss
T Erven, MD Reid, RC Williamson
Proceedings of the 24th Annual Conference on Learning Theory, 233-252, 2011
262011
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
222012
Convergence analysis of prediction markets via randomized subspace descent
R Frongillo, MD Reid
Advances in Neural Information Processing Systems 28, 2015
202015
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One
P Sun, MD Reid, J Zhou
Machine Learning Journal (To Appear), 2014
202014
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
192015
Gaussian Distribution.
X Zhang
Encyclopedia of Machine Learning, 425-428, 2010
18*2010
Mixability in Statistical Learning
T van Erven, PD Grünwald, MD Reid, RC Williamson
Neural Information Processing Systems (NIPS), 2012
17*2012
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
162000
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems
P Sun, MD Reid, J Zhou
International Conference on Machine Learning, 2012
142012
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Articles 1–20