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Mark D. Reid
Mark D. Reid
Apple
Bestätigte E-Mail-Adresse bei reid.name - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
2652010
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
2242011
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
1252015
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
662009
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
642009
Composite multiclass losses
RC Williamson, E Vernet, MD Reid
Journal of Machine Learning Research 17 (222), 1-52, 2016
632016
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
612012
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
592011
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
422009
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
352012
Gaussian Distribution.
X Zhang
Encyclopedia of machine learning, 425-428, 2010
30*2010
Learning to fly: An application of hierarchical reinforcement learning
MRK Ryan, M Reid
Proceedings of the Seventeenth International Conference on Machine Learning …, 2000
292000
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One
P Sun, MD Reid, J Zhou
Machine Learning Journal (To Appear), 2014
272014
Mixability is Bayes risk curvature relative to log loss
T Van Erven, MD Reid, RC Williamson
The Journal of Machine Learning Research 13, 1639-1663, 2012
272012
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
232012
Convergence analysis of prediction markets via randomized subspace descent
R Frongillo, MD Reid
Advances in Neural Information Processing Systems 28, 2015
222015
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
192015
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
182000
Mixability in Statistical Learning
T van Erven, PD Grünwald, MD Reid, RC Williamson
Neural Information Processing Systems (NIPS), 2012
17*2012
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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