Mark D. Reid - RankMe

45 papers A* 9A 1B 3C 1Journal 22Unranked 6

Year	Rank	Type	Title / Venue / Authors
2022	J	`jnl`	PSI Draft Specification. CoRR Mark D. Reid, James Montgomery, Barry J. Drake, Avraham Ruderman
2016	—	`conf`	Causal Bandits: Learning Good Interventions via Causal Inference. NIPS Finnian Lattimore, Tor Lattimore, Mark D. Reid
2016	J	`jnl`	Causal Bandits: Learning Good Interventions via Causal Inference. CoRR Finnian Lattimore, Tor Lattimore, Mark D. Reid
2016	J	`jnl`	Compliance-Aware Bandits. CoRR Nicolás Della Penna, Mark D. Reid, David Balduzzi
2016	J	`jnl`	Composite Multiclass Losses. J. Mach. Learn. Res. Robert C. Williamson, Elodie Vernet, Mark D. Reid
2016	—	`ed.`	Proceedings of the 2nd International Conference on Predictive APIs and Apps, PAPIs 2015, Sydney, Australia, August 6-7, 2015 PAPIs Louis Dorard, Mark D. Reid, Francisco J. Martin
2015	J	`jnl`	A Hybrid Loss for Multiclass and Structured Prediction. IEEE Trans. Pattern Anal. Mach. Intell. Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
2015	—	`conf`	Convergence Analysis of Prediction Markets via Randomized Subspace Descent. NIPS Rafael M. Frongillo, Mark D. Reid
2015	J	`jnl`	Fast rates in statistical and online learning. CoRR Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
2015	J	`jnl`	Fast rates in statistical and online learning. J. Mach. Learn. Res. Tim van Erven, Peter D. Grünwald, Nishant A. Mehta, Mark D. Reid, Robert C. Williamson
2015	A*	`conf`	Generalized Mixability via Entropic Duality. COLT Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
2015	—	`conf`	Protocols and Structures for Inference: A RESTful API for Machine Learning. PAPIs James Montgomery, Mark D. Reid, Barry J. Drake
2014	J	`jnl`	A Hybrid Loss for Multiclass and Structured Prediction. CoRR Qinfeng Shi, Mark D. Reid, Tibério S. Caetano, Anton van den Hengel, Zhenhua Wang
2014	J	`jnl`	An improved multiclass LogitBoost using adaptive-one-vs-one. Mach. Learn. Peng Sun, Mark D. Reid, Jie Zhou
2014	J	`jnl`	Generalised Mixability, Constant Regret, and Bayesian Updating. CoRR Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson
2014	J	`jnl`	Generalized Mixability via Entropic Duality. CoRR Mark D. Reid, Rafael M. Frongillo, Robert C. Williamson, Nishant A. Mehta
2014	J	`jnl`	Risk Dynamics in Trade Networks. CoRR Rafael M. Frongillo, Mark D. Reid
2013	C	`conf`	Aggregating Predictions via Sequential Mini-Trading. ACML Mindika Premachandra, Mark D. Reid
2012	A*	`conf`	AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problem. ICML Peng Sun, Mark D. Reid, Jie Zhou
2012	J	`jnl`	Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard CoRR Nicolás Della Penna, Mark D. Reid
2012	—	`conf`	Interpreting prediction markets: a stochastic approach. NIPS Nicolás Della Penna, Mark D. Reid, Rafael M. Frongillo
2012	—	`conf`	Mixability in Statistical Learning. NIPS Tim van Erven, Peter D. Grünwald, Mark D. Reid, Robert C. Williamson
2012	J	`jnl`	Mixability is Bayes Risk Curvature Relative to Log Loss. J. Mach. Learn. Res. Tim van Erven, Mark D. Reid, Robert C. Williamson
2012	J	`jnl`	The Convexity and Design of Composite Multiclass Losses CoRR Mark D. Reid, Robert C. Williamson, Peng Sun
2012	A*	`conf`	The Convexity and Design of Composite Multiclass Losses. ICML Mark D. Reid, Robert C. Williamson, Peng Sun
2012	J	`jnl`	Tighter Variational Representations of f-Divergences via Restriction to Probability Measures CoRR Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson
2012	A*	`conf`	Tighter Variational Representations of f-Divergences via Restriction to Probability Measures. ICML Avraham Ruderman, Mark D. Reid, Dario García-García, James Petterson
2011	J	`jnl`	Bandit Market Makers CoRR Nicolás Della Penna, Mark D. Reid
2011	—	`conf`	Composite Multiclass Losses. NIPS Elodie Vernet, Robert C. Williamson, Mark D. Reid
2011	J	`jnl`	Information, Divergence and Risk for Binary Experiments. J. Mach. Learn. Res. Mark D. Reid, Robert C. Williamson
2011	A*	`conf`	Mixability is Bayes Risk Curvature Relative to Log Loss. COLT Tim van Erven, Mark D. Reid, Robert C. Williamson
2010	J	`jnl`	Composite Binary Losses. J. Mach. Learn. Res. Mark D. Reid, Robert C. Williamson
2010	J	`jnl`	Conditional Random Fields and Support Vector Machines: A Hybrid Approach CoRR Qinfeng Shi, Mark D. Reid, Tibério S. Caetano
2010	A	`conf`	Convexity of Proper Composite Binary Losses. AISTATS Mark D. Reid, Robert C. Williamson
2010	—	`ch.`	Generalization Bounds. Encyclopedia of Machine Learning Mark D. Reid
2009	J	`jnl`	Generalised Pinsker Inequalities CoRR Mark D. Reid, Robert C. Williamson
2009	A*	`conf`	Generalised Pinsker Inequalities. COLT Mark D. Reid, Robert C. Williamson
2009	A*	`conf`	Kernel Conditional Quantile Estimation via Reduction Revisited. ICDM Novi Quadrianto, Kristian Kersting, Mark D. Reid, Tibério S. Caetano, Wray L. Buntine
2009	A*	`conf`	Surrogate regret bounds for proper losses. ICML Mark D. Reid, Robert C. Williamson
2007	—	`—`	DEFT guessing: using inductive transfer to improve rule evaluation from limited data. Mark D. Reid
2004	B	`conf`	Improving Rule Evaluation Using Multitask Learning. ILP Mark D. Reid
2002	J	`jnl`	Cross training and its application to skill mining. IBM Syst. J. Daniel Oblinger, Mark D. Reid, Mark Brodie, Rodrigo de Salvo Braz
2000	A*	`conf`	Learning to Fly: An Application of Hierarchical Reinforcement Learning. ICML Malcolm Ryan, Mark D. Reid
2000	B	`conf`	Using ILP to Improve Planning in Hierarchical Reinforcement Learning. ILP Mark D. Reid, Malcolm Ryan
1999	B	`conf`	A Noise Resistant Model Inference System. Discovery Science Eric McCreath, Mark D. Reid