Mark D. Reid
Mark D. Reid
Research Fellow, The Australian National University and NICTA
Geverifieerd e-mailadres voor anu.edu.au - Homepage
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Information, divergence and risk for binary experiments
MD Reid, RC Williamson
Journal of Machine Learning Research 12, 731-817, 2011
1462011
Composite binary losses
MD Reid, RC Williamson
The Journal of Machine Learning Research 9999, 2387-2422, 2010
1462010
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
462015
Surrogate regret bounds for proper losses
MD Reid, RC Williamson
Proceedings of the 26th Annual International Conference on Machine Learning …, 2009
432009
Composite Multiclass Losses
E Vernet, RC Williamson, MD Reid
Neural Information Processing Systems, 2011
422011
Generalised pinsker inequalities
MD Reid, RC Williamson
The 22nd Annual Conference on Learning Theory (COLT 2009), 2009
342009
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
332009
Interpreting prediction markets: a stochastic approach
R Frongillo, N Della Penna, M Reid
Advances in Neural Information Processing Systems 25, 3275-3283, 2012
262012
Learning to fly: An application of hierarchical reinforcement learning
M Ryan, M Reid
In Proceedings of the 17th International Conference on Machine Learning, 2000
212000
Mixability is Bayes risk curvature relative to log loss
T Van Erven, MD Reid, RC Williamson
Journal of Machine Learning Research 13 (52), 1639-1663, 2012
192012
Composite multiclass losses
RC Williamson, E Vernet, MD Reid
The Journal of Machine Learning Research 17 (1), 7860-7911, 2016
182016
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
172012
Mixability in Statistical Learning
T van Erven, PD Grünwald, MD Reid, RC Williamson
Neural Information Processing Systems (NIPS), 2012
14*2012
Using ILP to improve planning in hierarchical reinforcement learning
M Reid, M Ryan
International Conference on Inductive Logic Programming, 174-190, 2000
142000
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard
N Della Penna, MD Reid
Proceedings of Collective Intelligence, 2012
122012
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems
P Sun, MD Reid, J Zhou
International Conference on Machine Learning, 2012
122012
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
92015
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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Artikelen 1–20