Mark D. Reid

Research School of Information Sciences and Engineering, Australian National University

	2012
c13		Mark D. Reid, Robert C. Williamson, Peng Sun: The Convexity and Design of Composite Multiclass Losses. ICML 2012
c12		Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson: Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. ICML 2012
c11		Peng Sun, Mark D. Reid, Jie Zhou: AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. ICML 2012
c10		Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson: Mixability in Statistical Learning. NIPS 2012: 1700-1708
c9		Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo: Interpreting prediction markets: a stochastic approach. NIPS 2012: 3275-3283
i6		Nicolás Della Penna, Mark D. Reid: Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard. CoRR abs/1204.3511 (2012)
i5		Mark D. Reid, Robert C. Williamson, Peng Sun: The Convexity and Design of Composite Multiclass Losses. CoRR abs/1206.4663 (2012)
i4		Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson: Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. CoRR abs/1206.4664 (2012)
	2011
j5		Mark D. Reid, Robert C. Williamson: Information, Divergence and Risk for Binary Experiments. Journal of Machine Learning Research 12: 731-817 (2011)
j4		Tim van Erven, Mark D. Reid, Robert C. Williamson: Mixability is Bayes Risk Curvature Relative to Log Loss. Journal of Machine Learning Research - Proceedings Track 19: 233-252 (2011)
c8		Elodie Vernet, Robert C. Williamson, Mark D. Reid: Composite Multiclass Losses. NIPS 2011: 1224-1232
i3		Nicolás Della Penna, Mark D. Reid: Bandit Market Makers. CoRR abs/1112.0076 (2011)
	2010
j3		Mark D. Reid, Robert C. Williamson: Convexity of Proper Composite Binary Losses. Journal of Machine Learning Research - Proceedings Track 9: 637-644 (2010)
j2		Mark D. Reid, Robert C. Williamson: Composite Binary Losses. Journal of Machine Learning Research 11: 2387-2422 (2010)
r1		Mark D. Reid: Generalization Bounds. Encyclopedia of Machine Learning 2010: 447-454
i2		Qinfeng Shi, Mark D. Reid, Tibério S. Caetano: Conditional Random Fields and Support Vector Machines: A Hybrid Approach. CoRR abs/1009.3346 (2010)
	2009
c7		Mark D. Reid, Robert C. Williamson: Generalised Pinsker Inequalities. COLT 2009
c6		Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine: Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM 2009: 938-943
c5		Mark D. Reid, Robert C. Williamson: Surrogate regret bounds for proper losses. ICML 2009: 113
i1		Mark D. Reid, Robert C. Williamson: Generalised Pinsker Inequalities. CoRR abs/0906.1244 (2009)
	2004
c4		Mark D. Reid: Improving Rule Evaluation Using Multitask Learning. ILP 2004: 252-269
	2002
j1		Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz: Cross training and its application to skill mining. IBM Systems Journal 41(3): 449-460 (2002)
	2000
c3		Malcolm R. K. Ryan, Mark D. Reid: Learning to Fly: An Application of Hierarchical Reinforcement Learning. ICML 2000: 807-814
c2		Mark D. Reid, Malcolm R. K. Ryan: Using ILP to Improve Planning in Hierarchical Reinforcement Learning. ILP 2000: 174-190
	1999
c1		Eric McCreath, Mark D. Reid: A Noise Resistant Model Inference System. Discovery Science 1999: 252-263

Coauthor Index

Colors in the list of coauthors

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