Robert C. Williamson

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Alex SmolaBoson AIPreverjeni e-poštni naslov na smola.org
Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems & ELLIS Institute Tübingen; Professor at ETHPreverjeni e-poštni naslov na tuebingen.mpg.de
Peter BartlettProfessor, EECS and Statistics, UC BerkeleyPreverjeni e-poštni naslov na cs.berkeley.edu
John Shawe-TaylorUCLPreverjeni e-poštni naslov na cs.ucl.ac.uk
Rodney A. KennedyEmeritus Professor, Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
John C. PlattGooglePreverjeni e-poštni naslov na google.com
Mark D. ReidApplePreverjeni e-poštni naslov na reid.name
Aditya Krishna MenonResearch Scientist, GooglePreverjeni e-poštni naslov na google.com
Cheng Soon OngData61, CSIRO, CanberraPreverjeni e-poštni naslov na anu.edu.au
Ralf HerbrichHasso Plattner InstitutePreverjeni e-poštni naslov na hpi.de
Jyrki KivinenProfessor of Computer Science, University of HelsinkiPreverjeni e-poštni naslov na cs.helsinki.fi
Eric A. LehmannCSIRO Data61Preverjeni e-poštni naslov na csiro.au
Iven MareelsFederation University AustraliaPreverjeni e-poštni naslov na federation.edu.au
Wee Sun LeeProfessor, Department of Computer Science, National University of SingaporePreverjeni e-poštni naslov na comp.nus.edu.sg
Thushara AbhayapalaProfessor, Research School of Engineering, Australian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Brian AndersonAustralian National UniversityPreverjeni e-poštni naslov na anu.edu.au
Peter J. KootsookosCT State Community College, MiddlesexPreverjeni e-poštni naslov na ieee.org
Brian C. LovellProfessor, The University of QueenslandPreverjeni e-poštni naslov na itee.uq.edu.au
Richard NockGoogle ResearchPreverjeni e-poštni naslov na uniagro.fr
William SetharesProfessor of Electrical Engineering, University of WisconsinPreverjeni e-poštni naslov na wisc.edu

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Robert C. Williamson

University of Tübingen

Preverjeni e-poštni naslov na uni-tuebingen.de - Domača stran

machine learning learning theory imprecise probability risk measures


Naslov Razvrsti po navedbah Razvrsti po letniku Razvrsti po naslovu	Navedeno Navedeno	Leto
Estimating the support of a high-dimensional distribution B Schölkopf, JC Platt, J Shawe-Taylor, AJ Smola, RC Williamson Neural computation 13 (7), 1443-1471, 2001	7681	2001
New support vector algorithms B Schölkopf, AJ Smola, RC Williamson, PL Bartlett Neural computation 12 (5), 1207-1245, 2000	3636	2000
Support vector method for novelty detection B Schölkopf, RC Williamson, A Smola, J Shawe-Taylor, J Platt Advances in neural information processing systems 12, 1999	3302	1999
A Generalized Representer Theorem B Scholkopf, R Herbrich, A Smola, R Williamson	2402	2000
Online learning with kernels J Kivinen, AJ Smola, RC Williamson IEEE transactions on signal processing 52 (8), 2165-2176, 2004	1392	2004
Structural risk minimization over data-dependent hierarchies J Shawe-Taylor, PL Bartlett, RC Williamson, M Anthony IEEE transactions on Information Theory 44 (5), 1926-1940, 1998	765	1998
The cost of fairness in binary classification AK Menon, RC Williamson Conference on Fairness, accountability and transparency, 107-118, 2018	557	2018
Probabilistic arithmetic. I. Numerical methods for calculating convolutions and dependency bounds RC Williamson, T Downs International journal of approximate reasoning 4 (2), 89-158, 1990	544	1990
Clustering: Science or art? U von Luxburg, R Williamson, I Guyon Journal of Machine Learning Research 27, 65-80, 2012	535*	2012
Learning the kernel with hyperkernels CS Ong, A Smola, B Williamson Journal of Machine Learning Research 6, 1045-1071, 2005	477	2005
Particle filtering algorithms for tracking an acoustic source in a reverberant environment DB Ward, EA Lehmann, RC Williamson IEEE Transactions on speech and audio processing 11 (6), 826-836, 2003	450	2003
Theory and design of broadband sensor arrays with frequency invariant far‐field beam patterns DB Ward, RA Kennedy, RC Williamson The Journal of the Acoustical Society of America 97 (2), 1023-1034, 1995	395	1995
Learning with symmetric label noise: The importance of being unhinged B Van Rooyen, A Menon, RC Williamson Advances in neural information processing systems 28, 2015	381	2015
A PAC analysis of a Bayesian estimator J Shawe-Taylor, RC Williamson Proceedings of the tenth annual conference on Computational learning theory, 2-9, 1997	313	1997
Learning from corrupted binary labels via class-probability estimation A Menon, B Van Rooyen, CS Ong, B Williamson International conference on machine learning, 125-134, 2015	288	2015
The need for open source software in machine learning SÃ Sonnenburg, ML Braun, CS Ong, S Bengio, L Bottou, G Holmes, ... Journal of Machine Learning Research 8 (Oct), 2443-2466, 2007	284	2007
Composite binary losses MD Reid, RC Williamson The Journal of Machine Learning Research 11, 2387-2422, 2010	265	2010
Shrinking the tube: a new support vector regression algorithm B Schölkopf, P Bartlett, A Smola, RC Williamson Advances in neural information processing systems 11, 1998	265	1998
Fat shattering and the learnability of real-valued functions PL Bartlett, PM Long, RC Williamson Journal of Computer and System Sciences 52 (3), 434-452, 1996	234	1996
Generalization performance of regularization networks and support vector machines via entropy numbers of compact operators RC Williamson, AJ Smola, B Scholkopf IEEE transactions on Information Theory 47 (6), 2516-2532, 2001	233	2001

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