Mark D. Reid
Mark D. Reid
Research Fellow, The Australian National University and NICTA
Verified email at anu.edu.au - Homepage
TitleCited byYear
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
1412011
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
1362010
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
412015
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
402011
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
402009
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
332009
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
312009
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
242012
Mixability is Bayes risk curvature relative to log loss
T Erven, MD Reid, RC Williamson
Journal of Machine Learning Research 13 (May), 1639-1663, 2012
192012
Learning to fly: An application of hierarchical reinforcement learning
M Ryan, M Reid
In Proceedings of the 17th International Conference on Machine Learning, 2000
192000
Composite multiclass losses
RC Williamson, E Vernet, MD Reid
The Journal of Machine Learning Research 17 (1), 7860-7911, 2016
172016
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
142000
Mixability in Statistical Learning
T van Erven, PD Grünwald, MD Reid, RC Williamson
Neural Information Processing Systems (NIPS), 2012
13*2012
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
132012
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems
P Sun, MD Reid, J Zhou
International Conference on Machine Learning, 2012
122012
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
112012
Information, divergence and risk for binary experiments
MD Reid, RC Williamson
arXiv preprint arXiv:0901.0356, 2009
112009
Generalized mixability via entropic duality
MD Reid, RM Frongillo, RC Williamson, N Mehta
Conference on Learning Theory, 1501-1522, 2015
102015
Convergence analysis of prediction markets via randomized subspace descent
R Frongillo, MD Reid
Advances in Neural Information Processing Systems, 3034-3042, 2015
72015
A Hybrid Loss for Multiclass and Structured Prediction
Q Shi, M Reid, T Caetano, A Van Den Hengel, Z Wang
Transactions on Pattern Analysis and Machine Intelligence 37 (1), 2-12, 2014
72014
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Articles 1–20