Reid, Mark D.

19 publications

NeurIPS 2016 Causal Bandits: Learning Good Interventions via Causal Inference Finnian Lattimore, Tor Lattimore, Mark D. Reid

JMLR 2016 Composite Multiclass Losses Robert C. Williamson, Elodie Vernet, Mark D. Reid

NeurIPS 2015 Convergence Analysis of Prediction Markets via Randomized Subspace Descent Rafael Frongillo, Mark D. Reid

JMLR 2015 Fast Rates in Statistical and Online Learning Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson

COLT 2015 Generalized Mixability via Entropic Duality Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta

MLJ 2014 An Improved Multiclass LogitBoost Using Adaptive-One-vs-One Peng Sun, Mark D. Reid, Jie Zhou

ICML 2012 AOSO-LogitBoost: Adaptive One-vs-One LogitBoost for Multi-Class Problem Peng Sun, Mark D. Reid, Jie Zhou

NeurIPS 2012 Interpreting Prediction Markets: A Stochastic Approach Rafael M. Frongillo, Nicolas Della Penna, Mark D. Reid

JMLR 2012 Mixability Is Bayes Risk Curvature Relative to Log Loss Tim van Erven, Mark D. Reid, Robert C. Williamson

NeurIPS 2012 Mixability in Statistical Learning Tim V. Erven, Peter Grünwald, Mark D. Reid, Robert C. Williamson

ICML 2012 The Convexity and Design of Composite Multiclass Losses Mark D. Reid, Robert C. Williamson, Peng Sun

ICML 2012 Tighter Variational Representations of F-Divergences via Restriction to Probability Measures Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson

NeurIPS 2011 Composite Multiclass Losses Elodie Vernet, Mark D. Reid, Robert C. Williamson

JMLR 2011 Information, Divergence and Risk for Binary Experiments Mark D. Reid, Robert C. Williamson

COLT 2011 Mixability Is Bayes Risk Curvature Relative to Log Loss Tim Erven, Mark D. Reid, Robert C. Williamson

JMLR 2010 Composite Binary Losses Mark D. Reid, Robert C. Williamson

COLT 2009 Generalised Pinsker Inequalities Mark D. Reid, Robert C. Williamson

ICML 2009 Surrogate Regret Bounds for Proper Losses Mark D. Reid, Robert C. Williamson

ICML 2000 Learning to Fly: An Application of Hierarchical Reinforcement Learning Malcolm Ryan, Mark D. Reid