A Noise Resistant Model Inference System. - Eric McCreath; Mark D. Reid (Discovery Science, 1999)

Learning to Fly: An Application of Hierarchical Reinforcement Learning. - Malcolm Ryan 001; Mark D. Reid (ICML, 2000)

Using ILP to Improve Planning in Hierarchical Reinforcement Learning. - Mark D. Reid; Malcolm Ryan 001 (ILP, 2000)

Cross training and its application to skill mining. - Daniel Oblinger; Mark D. Reid; Mark Brodie; Rodrigo de Salvo Braz (IBM Syst. J., 2002)

Improving Rule Evaluation Using Multitask Learning. - Mark D. Reid (ILP, 2004)

DEFT guessing: using inductive transfer to improve rule evaluation from limited data. - Mark D. Reid (2007)

Generalised Pinsker Inequalities. - Mark D. Reid; Robert C. Williamson (COLT, 2009)

Kernel Conditional Quantile Estimation via Reduction Revisited. - Novi Quadrianto; Kristian Kersting; Mark D. Reid; Tibério S. Caetano; Wray L. Buntine (ICDM, 2009)

Surrogate regret bounds for proper losses. - Mark D. Reid; Robert C. Williamson (ICML, 2009)

Conditional Random Fields and Support Vector Machines: A Hybrid Approach - Qinfeng Shi; Mark D. Reid; Tibério S. Caetano (CoRR, 2010)

Composite Binary Losses. - Mark D. Reid; Robert C. Williamson (J. Mach. Learn. Res., 2010)

Convexity of Proper Composite Binary Losses. - Mark D. Reid; Robert C. Williamson (AISTATS, 2010)

Generalization Bounds. - Mark D. Reid (Encyclopedia of Machine Learning, 2010)

Bandit Market Makers - Nicolás Della Penna; Mark D. Reid (CoRR, 2011)

Information, Divergence and Risk for Binary Experiments. - Mark D. Reid; Robert C. Williamson (J. Mach. Learn. Res., 2011)

The Convexity and Design of Composite Multiclass Losses. - Mark D. Reid; Robert C. Williamson; Peng Sun 011 (ICML, 2012)

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

AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. - Peng Sun 011; Mark D. Reid; Jie Zhou 001 (ICML, 2012)

Mixability in Statistical Learning. - Tim van Erven; Peter D. Grünwald; Mark D. Reid; Robert C. Williamson (NIPS, 2012)

Interpreting prediction markets: a stochastic approach. - Nicolás Della Penna; Mark D. Reid; Rafael M. Frongillo (NIPS, 2012)

Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard - Nicolás Della Penna; Mark D. Reid (CoRR, 2012)

Mixability is Bayes Risk Curvature Relative to Log Loss. - Tim van Erven; Mark D. Reid; Robert C. Williamson (J. Mach. Learn. Res., 2012)

Aggregating Predictions via Sequential Mini-Trading. - Mindika Premachandra; Mark D. Reid (ACML, 2013)

Risk Dynamics in Trade Networks. - Rafael M. Frongillo; Mark D. Reid (CoRR, 2014)

Generalised Mixability, Constant Regret, and Bayesian Updating. - Mark D. Reid; Rafael M. Frongillo; Robert C. Williamson (CoRR, 2014)

An improved multiclass LogitBoost using adaptive-one-vs-one. - Peng Sun 011; Mark D. Reid; Jie Zhou 001 (Mach. Learn., 2014)

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

Convergence Analysis of Prediction Markets via Randomized Subspace Descent. - Rafael M. Frongillo; Mark D. Reid (NIPS, 2015)

Protocols and Structures for Inference: A RESTful API for Machine Learning. - James Montgomery 001; Mark D. Reid; Barry J. Drake (PAPIs, 2015)

Fast rates in statistical and online learning. - Tim van Erven; Peter D. Grünwald; Nishant A. Mehta; Mark D. Reid; Robert C. Williamson (J. Mach. Learn. Res., 2015)

A Hybrid Loss for Multiclass and Structured Prediction. - Qinfeng Shi; Mark D. Reid; Tibério S. Caetano; Anton van den Hengel; Zhenhua Wang 003 (IEEE Trans. Pattern Anal. Mach. Intell., 2015)

Causal Bandits: Learning Good Interventions via Causal Inference. - Finnian Lattimore; Tor Lattimore; Mark D. Reid (NIPS, 2016)

Compliance-Aware Bandits. - Nicolás Della Penna; Mark D. Reid; David Balduzzi (CoRR, 2016)

Composite Multiclass Losses. - Robert C. Williamson; Elodie Vernet; Mark D. Reid (J. Mach. Learn. Res., 2016)

PSI Draft Specification. - Mark D. Reid; James Montgomery 001; Barry J. Drake; Avraham Ruderman (CoRR, 2022)