Mark D. Reid 个人学术档案 - 学术资源搜索

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	总计	2019 年至今
引用	1275	625
h 指数	18	12
i10 指数	23	15

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Robert C. WilliamsonUniversity of Tübingen在 uni-tuebingen.de 的电子邮件经过验证
Rafael FrongilloComputer Science, CU Boulder在 colorado.edu 的电子邮件经过验证
Tim van ErvenAssociate professor at the University of Amsterdam, the Netherlands在 uva.nl 的电子邮件经过验证
Nicolás Della PennaGroupLang在 grouplang.com 的电子邮件经过验证
Tiberio CaetanoGradient Institute在 gradientinstitute.org 的电子邮件经过验证
Nishant A. MehtaAssistant Professor, University of Victoria在 uvic.ca 的电子邮件经过验证
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden University在 cwi.nl 的电子邮件经过验证
Malcolm RyanSchool of Computing, Macquarie University在 mq.edu.au 的电子邮件经过验证
Jie ZhouProfessor, Department of Automation, Tsinghua University在 tsinghua.edu.cn 的电子邮件经过验证
Darío García-GarcíaFever在 feverup.com 的电子邮件经过验证
James PettersonPrincipal Data Scientist, IAG在 nicta.com.au 的电子邮件经过验证
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of Adelaide在 adelaide.edu.au 的电子邮件经过验证
Kristian KerstingProfessor of AI & ML, TU Darmstadt, Co-Director hessian.ai, DFKI, Germany, CLAIRE & ELLIS在 cs.tu-darmstadt.de 的电子邮件经过验证
Wray BuntineProfessor, VinUniversity在 vinuni.edu.vn 的电子邮件经过验证
Novi QuadriantoProfessor of Machine Learning, University of Sussex UK, BCAM Spain, Monash Indonesia在 sussex.ac.uk 的电子邮件经过验证
Anne Mindika PremachandraLecturer, University of Colombo School of Computing在 ucsc.cmb.ac.lk 的电子邮件经过验证
James MontgomeryUniversity of Tasmania在 utas.edu.au 的电子邮件经过验证
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.在 adelaide.edu.au 的电子邮件经过验证
David BalduzziXTX Markets在 google.com 的电子邮件经过验证
Shalmali JoshiColumbia University在 cumc.columbia.edu 的电子邮件经过验证

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Machine Learning Online Learning Prediction Markets Information Theory


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Composite binary losses MD Reid, RC Williamson The Journal of Machine Learning Research 9999, 2387-2422, 2010	249	2010
Information, divergence and risk for binary experiments MD Reid, RC Williamson Journal of Machine Learning Research 12, 731-817, 2011	216	2011
Fast rates in statistical and online learning T van Erven, PD Grünwald, NA Mehta, MD Reid, RC Williamson Journal of Machine Learning Research 16 (Sep), 1793−1861, 2015	111	2015
Surrogate regret bounds for proper losses MD Reid, RC Williamson Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	65	2009
Generalised pinsker inequalities MD Reid, RC Williamson The 22nd Annual Conference on Learning Theory (COLT 2009), 2009	62	2009
Composite Multiclass Losses E Vernet, RC Williamson, MD Reid Neural Information Processing Systems, 2011	58	2011
Composite multiclass losses RC Williamson, E Vernet, MD Reid Journal of Machine Learning Research 17 (222), 1-52, 2016	57	2016
Tighter Variational Representations of f-Divergences via Restriction to Probability Measures A Ruderman, MD Reid, D García-García, J Petterson International Conference on Machine Learning, 2012	57	2012
Kernel conditional quantile estimation via reduction revisited N Quadrianto, K Kersting, MD Reid, TS Caetano, WL Buntine 2009 Ninth IEEE International Conference on Data Mining, 938-943, 2009	41	2009
Interpreting prediction markets: a stochastic approach R Frongillo, N Della Penna, M Reid Advances in Neural Information Processing Systems 25, 3275-3283, 2012	34	2012
Mixability is Bayes risk curvature relative to log loss T Erven, MD Reid, RC Williamson Proceedings of the 24th Annual Conference on Learning Theory, 233-252, 2011	28	2011
Learning to fly: An application of hierarchical reinforcement learning MRK Ryan, M Reid Proceedings of the Seventeenth International Conference on Machine Learning …, 2000	28	2000
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One P Sun, MD Reid, J Zhou Machine Learning Journal (To Appear), 2014	26	2014
Gaussian Distribution. X Zhang Encyclopedia of Machine Learning, 425-428, 2010	23*	2010
Convergence analysis of prediction markets via randomized subspace descent R Frongillo, MD Reid Advances in Neural Information Processing Systems 28, 2015	21	2015
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard N Della Penna, MD Reid Proceedings of Collective Intelligence, 2012	21	2012
Generalized mixability via entropic duality MD Reid, RM Frongillo, RC Williamson, N Mehta Conference on Learning Theory, 1501-1522, 2015	19	2015
Mixability in Statistical Learning T van Erven, PD Grünwald, MD Reid, RC Williamson Neural Information Processing Systems (NIPS), 2012	18*	2012
Using ILP to improve planning in hierarchical reinforcement learning M Reid, M Ryan International Conference on Inductive Logic Programming, 174-190, 2000	18	2000
AOSO-LogitBoost: Adaptive One-Vs-One LogitBoost for Multi-Class Problems P Sun, MD Reid, J Zhou International Conference on Machine Learning, 2012	14	2012

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