Mark D. Reid
Mark D. Reid
Apple
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Процитировано
Процитировано
Год
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
1822011
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
1782010
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
752015
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
562009
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
542011
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
462009
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
392009
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
322012
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
322012
Composite multiclass losses
R Williamson, E Vernet, M Reid
MIT Press, 2016
282016
Learning to fly: An application of hierarchical reinforcement learning
M Ryan, M Reid
In Proceedings of the 17th 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
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
182015
Convergence Analysis of Prediction Markets via Randomized Subspace Descent.
RM Frongillo, MD Reid
NIPS, 3034-3042, 2015
162015
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
162012
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
152000
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One
P Sun, MD Reid, J Zhou
Machine Learning Journal (To Appear), 2014
142014
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
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