Dino Sejdinovic - Google Scholar Citations

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	All	Since 2014
Citations	1665	1323
h-index	21	19
i10-index	31	27

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Co-authors

arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Robert PiechockiUniversity of BristolVerified email at bristol.ac.uk
Dejan VukobratovicUniversity of Novi SadVerified email at uns.ac.rs
Angela DoufexiUniversity of BristolVerified email at bristol.ac.uk
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Heiko StrathmannAlan Turing Institute, shogun.mlVerified email at ucl.ac.uk
Seth R. Flaxmanlecturer at Imperial College LondonVerified email at imperial.ac.uk
Vladimir StankovicReader at University of StrathclydeVerified email at strath.ac.uk
Zixiang XiongProf. Texas A&M UniversityVerified email at ece.tamu.edu
Chris. J. OatesChair in Statistics, Newcastle UniversityVerified email at ncl.ac.uk
Michael A OsborneAssociate Professor, University of OxfordVerified email at robots.ox.ac.uk
François-Xavier BriolLecturer in Statistical Science, University College LondonVerified email at turing.ac.uk
Zoltan SzaboResearch Associate Professor, Center of Applied Mathematics (CMAP), École PolytechniqueVerified email at polytechnique.edu
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Lina StankovicSenior Lecturer of Electronic Engineering, University of StrathclydeVerified email at strath.ac.uk
Sarah FilippiLecturer, Imperial College LondonVerified email at imperial.ac.uk
Wittawat JitkrittumMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Christophe AndrieuProfessor of Statistics, University of BristolVerified email at bristol.ac.uk
Oliver JohnsonProfessor of Information Theory, School of Mathematics, University of Bristol, UKVerified email at bristol.ac.uk

Dino Sejdinovic

University of Oxford

Verified email at stats.ox.ac.uk - Homepage

Statistical Inference Machine Learning Information Theory


Title	Cited by	Year
Equivalence of distance-based and RKHS-based statistics in hypothesis testing D Sejdinovic, B Sriperumbudur, A Gretton, K Fukumizu The Annals of Statistics 41 (5), 2263–2291, 2013	252	2013
Expanding window fountain codes for unequal error protection D Sejdinovic, D Vukobratovic, A Doufexi, V Senk, R Piechocki Communications, IEEE Transactions on 57 (9), 2510-2516, 2009	197	2009
Expanding window fountain codes for unequal error protection D Sejdinovic, D Vukobratovic, A Doufexi, V Senk, R Piechocki Asilomar Conference on Signals, Systems and Computers, 1020–1024, 2007	197	2007
Optimal kernel choice for large-scale two-sample tests A Gretton, BK Sriperumbudur, D Sejdinovic, H Strathmann, ... Advances in Neural Information Processing Systems 25, 1214-1222, 2012	178	2012
Scalable video multicast using expanding window fountain codes D Vukobratovic, V Stankovic, D Sejdinovic, L Stankovic, Z Xiong IEEE Transactions on Multimedia 11 (6), 1094-1104, 2009	150	2009
Probabilistic Integration: A Role in Statistical Computation? FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic Statistical Science 34 (1), 1-22, 2019	80*	2019
AND-OR tree analysis of distributed LT codes D Sejdinovic, RJ Piechocki, A Doufexi IEEE Information Theory Workshop on Networking and Information Theory (ITW …, 2009	63	2009
Fast two-sample testing with analytic representations of probability measures KP Chwialkowski, A Ramdas, D Sejdinovic, A Gretton Advances in Neural Information Processing Systems, 1981-1989, 2015	60	2015
Note on noisy group testing: asymptotic bounds and belief propagation reconstruction D Sejdinovic, O Johnson Proc. 48th Annual Allerton 2010 Conf. on Communication, Control and …, 2010	60	2010
Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families H Strathmann, D Sejdinovic, S Livingstone, Z Szabo, A Gretton Advances in Neural Information Processing Systems, 955-963, 2015	44	2015
Large-scale kernel methods for independence testing Q Zhang, S Filippi, A Gretton, D Sejdinovic Statistics and Computing 28 (1), 113–130, 2018	37	2018
Bayesian sequential compressed sensing in sparse dynamical systems D Sejdinovic, C Andrieu, R Piechocki Proc. 48th Annual Allerton 2010 Conf. on Communication, Control and …, 2010	36	2010
Hypothesis testing using pairwise distances and associated kernels D Sejdinovic, A Gretton, B Sriperumbudur, K Fukumizu International Conference on Machine Learning (ICML), 2012	31*	2012
Kernel Adaptive Metropolis-Hastings D Sejdinovic, H Strathmann, ML Garcia, C Andrieu, A Gretton International Conference on Machine Learning (ICML) - JMLR W&CP 32(2), 1665 …, 2014	29	2014
A Kernel Test for Three-Variable Interactions D Sejdinovic, A Gretton, W Bergsma Advances in Neural Information Processing Systems 26, 2013	28	2013
A Wild Bootstrap for Degenerate Kernel Tests KP Chwialkowski, D Sejdinovic, A Gretton Advances in Neural Information Processing Systems, 3608-3616, 2014	27	2014
Fountain code design for data multicast with side information D Sejdinovic, RJ Piechocki, A Doufexi, M Ismail IEEE Transactions on Wireless Communications 8 (10), 5155-5165, 2009	27	2009
Expanding window fountain codes for scalable video multicast D Vukobratovic, V Stankovic, D Sejdinovic, L Stankovic, Z Xiong IEEE International Conference on Multimedia and Expo (ICME) 2008, 77-80, 2008	27	2008
Kernel-Based Just-In-Time Learning for Passing Expectation Propagation Messages W Jitkrittum, A Gretton, N Heess, SM Eslami, B Lakshminarayanan, ... Uncertainty in Artificial Intelligence (UAI), 2015	24	2015
Temporal structure in associative retrieval Z Kurth-Nelson, G Barnes, D Sejdinovic, R Dolan, P Dayan Elife 4, e04919, 2015	23	2015

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