Mark D. Reid

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Robert C. WilliamsonUniversity of TübingenPreverjeni e-poštni naslov na uni-tuebingen.de
Rafael FrongilloComputer Science, CU BoulderPreverjeni e-poštni naslov na colorado.edu
Tim van ErvenAssociate professor at the University of Amsterdam, the NetherlandsPreverjeni e-poštni naslov na uva.nl
Nicolás Della PennaGroupLangPreverjeni e-poštni naslov na grouplang.com
Tiberio CaetanoGradient InstitutePreverjeni e-poštni naslov na gradientinstitute.org
Nishant A. MehtaAssistant Professor, University of VictoriaPreverjeni e-poštni naslov na uvic.ca
Peter GrünwaldGroup Leader Machine Learning, CWI; Professor of Statistics, Leiden UniversityPreverjeni e-poštni naslov na cwi.nl
Malcolm RyanSchool of Computing, Macquarie UniversityPreverjeni e-poštni naslov na mq.edu.au
Jie ZhouProfessor, Department of Automation, Tsinghua UniversityPreverjeni e-poštni naslov na tsinghua.edu.cn
Darío García-GarcíaFeverPreverjeni e-poštni naslov na feverup.com
James PettersonPrincipal Data Scientist, IAGPreverjeni e-poštni naslov na nicta.com.au
Professor Javen Qinfeng ShiDirector for Causal AI Group, University of AdelaidePreverjeni e-poštni naslov na adelaide.edu.au
Kristian KerstingProfessor of AI & ML, Technical University of Darmstadt, Hessian.ai/DFKI, CAIRNE/ELLIS, AAAI FellowPreverjeni e-poštni naslov na cs.tu-darmstadt.de
Wray BuntineProfessor, VinUniversityPreverjeni e-poštni naslov na vinuni.edu.vn
Novi QuadriantoProfessor of Machine Learning, University of Sussex UK, BCAM Spain, Monash IndonesiaPreverjeni e-poštni naslov na sussex.ac.uk
Anne Mindika PremachandraLecturer, University of Colombo School of ComputingPreverjeni e-poštni naslov na ucsc.cmb.ac.lk
James MontgomeryUniversity of TasmaniaPreverjeni e-poštni naslov na utas.edu.au
Anton van den HengelDirector of the Centre for Augmented Reasoning at AIML.Preverjeni e-poštni naslov na adelaide.edu.au
David BalduzziXTX MarketsPreverjeni e-poštni naslov na google.com
Shalmali JoshiColumbia UniversityPreverjeni e-poštni naslov na cumc.columbia.edu

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Mark D. Reid

Apple

Preverjeni e-poštni naslov na reid.name - Domača stran

Machine Learning Online Learning Prediction Markets Information Theory


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Composite binary losses MD Reid, RC Williamson The Journal of Machine Learning Research 9999, 2387-2422, 2010	265	2010
Information, divergence and risk for binary experiments MD Reid, RC Williamson Journal of Machine Learning Research 12, 731-817, 2011	223	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	125	2015
Surrogate regret bounds for proper losses MD Reid, RC Williamson Proceedings of the 26th Annual International Conference on Machine Learning …, 2009	66	2009
Generalised pinsker inequalities MD Reid, RC Williamson The 22nd Annual Conference on Learning Theory (COLT 2009), 2009	64	2009
Composite multiclass losses RC Williamson, E Vernet, MD Reid Journal of Machine Learning Research 17 (222), 1-52, 2016	63	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	61	2012
Composite Multiclass Losses E Vernet, RC Williamson, MD Reid Neural Information Processing Systems, 2011	59	2011
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	42	2009
Interpreting prediction markets: a stochastic approach R Frongillo, N Della Penna, M Reid Advances in Neural Information Processing Systems 25, 3275-3283, 2012	35	2012
Gaussian Distribution. X Zhang Encyclopedia of machine learning, 425-428, 2010	30*	2010
Learning to fly: An application of hierarchical reinforcement learning MRK Ryan, M Reid Proceedings of the Seventeenth International Conference on Machine Learning …, 2000	29	2000
An Improved Multiclass LogitBoost Using Adaptive-One-vs-One P Sun, MD Reid, J Zhou Machine Learning Journal (To Appear), 2014	27	2014
Mixability is Bayes risk curvature relative to log loss T Van Erven, MD Reid, RC Williamson The Journal of Machine Learning Research 13 (1), 1639-1663, 2012	27	2012
Crowd & Prejudice: An Impossibility Theorem for Crowd Labelling without a Gold Standard N Della Penna, MD Reid Proceedings of Collective Intelligence, 2012	23	2012
Convergence analysis of prediction markets via randomized subspace descent R Frongillo, MD Reid Advances in Neural Information Processing Systems 28, 2015	22	2015
Generalized mixability via entropic duality MD Reid, RM Frongillo, RC Williamson, N Mehta Conference on Learning Theory, 1501-1522, 2015	19	2015
Using ILP to improve planning in hierarchical reinforcement learning M Reid, M Ryan International Conference on Inductive Logic Programming, 174-190, 2000	18	2000
Mixability in Statistical Learning T van Erven, PD Grünwald, MD Reid, RC Williamson Neural Information Processing Systems (NIPS), 2012	17*	2012
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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