Mark D. Reid

Publication Activity (10 Years)

Years Active: 1999-2022
Publications (10 Years): 5

Top Venues

CoRR

J. Mach. Learn. Res.

NIPS

Mach. Learn.

University of New South Wales, Sydney, Australia (PHD)

Education History

University of New South Wales, Sydney, Australia

PHD

Publications

Mark D. Reid, James Montgomery, Barry J. Drake, Avraham Ruderman
PSI Draft Specification. CoRR (2022)
Robert C. Williamson, Elodie Vernet, Mark D. Reid
Composite Multiclass Losses. J. Mach. Learn. Res. 17 (2016)
Nicolás Della Penna, Mark D. Reid, David Balduzzi
Compliance-Aware Bandits. CoRR (2016)
Finnian Lattimore, Tor Lattimore, Mark D. Reid
Causal Bandits: Learning Good Interventions via Causal Inference. CoRR (2016)
Finnian Lattimore, Tor Lattimore, Mark D. Reid
Causal Bandits: Learning Good Interventions via Causal Inference. NIPS (2016)
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
Fast rates in statistical and online learning. J. Mach. Learn. Res. 16 (2015)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. COLT (2015)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. 37 (1) (2015)
James Montgomery, Mark D. Reid, Barry J. Drake
Protocols and Structures for Inference: A RESTful API for Machine Learning. PAPIs (2015)
Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
Fast rates in statistical and online learning. CoRR (2015)
Rafael M. Frongillo, Mark D. Reid
Convergence Analysis of Prediction Markets via Randomized Subspace Descent. NIPS (2015)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson
Generalised Mixability, Constant Regret, and Bayesian Updating. CoRR (2014)
Peng Sun, Mark D. Reid, Jie Zhou
An improved multiclass LogitBoost using adaptive-one-vs-one. Mach. Learn. 97 (3) (2014)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
A Hybrid Loss for Multiclass and Structured Prediction. CoRR (2014)
Rafael M. Frongillo, Mark D. Reid
Risk Dynamics in Trade Networks. CoRR (2014)
Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
Generalized Mixability via Entropic Duality. CoRR (2014)
Mindika Premachandra, Mark D. Reid
Aggregating Predictions via Sequential Mini-Trading. ACML (2013)
Mark D. Reid, Robert C. Williamson, Peng Sun
The Convexity and Design of Composite Multiclass Losses CoRR (2012)
Peng Sun, Mark D. Reid, Jie Zhou
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. ICML (2012)
Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. ICML (2012)
Nicolás Della Penna, Mark D. Reid
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard CoRR (2012)
Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures CoRR (2012)
Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson
Mixability in Statistical Learning. NIPS (2012)
Mark D. Reid, Robert C. Williamson, Peng Sun
The Convexity and Design of Composite Multiclass Losses. ICML (2012)
Tim van Erven, Mark D. Reid, Robert C. Williamson
Mixability is Bayes Risk Curvature Relative to Log Loss. J. Mach. Learn. Res. 13 (2012)
Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo
Interpreting prediction markets: a stochastic approach. NIPS (2012)
Tim van Erven, Mark D. Reid, Robert C. Williamson
Mixability is Bayes Risk Curvature Relative to Log Loss. COLT (2011)
Nicolás Della Penna, Mark D. Reid
Bandit Market Makers CoRR (2011)
Mark D. Reid, Robert C. Williamson
Information, Divergence and Risk for Binary Experiments. J. Mach. Learn. Res. 12 (2011)
Elodie Vernet, Robert C. Williamson, Mark D. Reid
Composite Multiclass Losses. NIPS (2011)
Qinfeng Shi, Mark D. Reid, Tibério S. Caetano
Conditional Random Fields and Support Vector Machines: A Hybrid Approach CoRR (2010)
Mark D. Reid, Robert C. Williamson
Composite Binary Losses. J. Mach. Learn. Res. 11 (2010)
Mark D. Reid, Robert C. Williamson
Convexity of Proper Composite Binary Losses. AISTATS (2010)
Mark D. Reid, Robert C. Williamson
Generalised Pinsker Inequalities CoRR (2009)
Mark D. Reid, Robert C. Williamson
Generalised Pinsker Inequalities. COLT (2009)
Mark D. Reid, Robert C. Williamson
Surrogate regret bounds for proper losses. ICML (2009)
Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM (2009)
Mark D. Reid
Improving Rule Evaluation Using Multitask Learning. ILP (2004)
Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz
Cross training and its application to skill mining. IBM Syst. J. 41 (3) (2002)
Malcolm Ryan, Mark D. Reid
Learning to Fly: An Application of Hierarchical Reinforcement Learning. ICML (2000)
Mark D. Reid, Malcolm Ryan
Using ILP to Improve Planning in Hierarchical Reinforcement Learning. ILP (2000)
Eric McCreath, Mark D. Reid
A Noise Resistant Model Inference System. Discovery Science (1999)

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Publication Activity (10 Years)

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Mark D. Reid