Mark D. Reid
Title
Cited by
Cited by
Year
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
1732010
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
1722011
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
682015
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
542009
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
522011
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
422009
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
382009
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
292012
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
292012
Learning to fly: An application of hierarchical reinforcement learning
M Ryan, M Reid
In Proceedings of the 17th International Conference on Machine Learning, 2000
272000
Composite multiclass losses
R Williamson, E Vernet, M Reid
MIT Press, 2016
252016
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
212011
Mixability in Statistical Learning
T van Erven, PD Grünwald, MD Reid, RC Williamson
Neural Information Processing Systems (NIPS), 2012
192012
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
172015
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
152000
Convergence Analysis of Prediction Markets via Randomized Subspace Descent.
RM Frongillo, MD Reid
NIPS, 3034-3042, 2015
142015
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
142012
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems
P Sun, MD Reid, J Zhou
International Conference on Machine Learning, 2012
142012
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
arXiv preprint arXiv:0901.0356, 2009
142009
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One
P Sun, MD Reid, J Zhou
Machine Learning Journal (To Appear), 2014
92014
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Articles 1–20