Dino Sejdinovic

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	All	Since 2016
Citations	2581	1893
h-index	26	24
i10-index	37	32

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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 DoufexiProfessor, University of BristolVerified email at bristol.ac.uk
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Seth R. Flaxmansenior lecturer at Imperial College LondonVerified email at imperial.ac.uk
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Heiko StrathmannResearch Scientist at DeepmindVerified email at ucl.ac.uk
Michael A OsborneProfessor of Machine Learning, University of OxfordVerified email at robots.ox.ac.uk
Mark GirolamiUniversity of CambridgeVerified email at cam.ac.uk
Vladimir StankovicReader at University of StrathclydeVerified email at strath.ac.uk
Yee Whye TehProfessor of Statistical Machine Learning, Oxford, Research Scientist, DeepMindVerified email at stats.ox.ac.uk
Sarah FilippiLecturer, Imperial College LondonVerified email at imperial.ac.uk
Chris. J. OatesChair in Statistics, Newcastle UniversityVerified email at ncl.ac.uk
François-Xavier BriolLecturer in Statistical Science, UCLVerified email at turing.ac.uk
Zixiang XiongProf. Texas A&M UniversityVerified email at ece.tamu.edu
Lina StankovicSenior Lecturer of Electronic Engineering, University of StrathclydeVerified email at strath.ac.uk
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Ho Chung Leon LawDPhil in Statistics, University Of OxfordVerified email at spc.ox.ac.uk
Zoltan SzaboSenior Researcher, Center of Applied Mathematics (CMAP), École PolytechniqueVerified email at polytechnique.edu

Dino Sejdinovic

University of Oxford

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

Statistical Inference Machine Learning Information Theory


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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	393	2013
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	326	2012
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	207	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	207	2007
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	163	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	125*	2019
Detecting and quantifying causal associations in large nonlinear time series datasets J Runge, P Nowack, M Kretschmer, S Flaxman, D Sejdinovic Science Advances 5 (11), eaau4996, 2019	92	2019
Fast two-sample testing with analytic representations of probability measures KP Chwialkowski, A Ramdas, D Sejdinovic, A Gretton Advances in Neural Information Processing Systems 28, 1981-1989, 2015	90	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	68	2010
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	65	2009
Gaussian Processes and Kernel Methods: A Review on Connections and Equivalences M Kanagawa, P Hennig, D Sejdinovic, BK Sriperumbudur arXiv preprint arXiv:1807.02582, 2018	64	2018
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 28, 955-963, 2015	64	2015
Large-scale kernel methods for independence testing Q Zhang, S Filippi, A Gretton, D Sejdinovic Statistics and Computing 28 (1), 113–130, 2018	63	2018
Temporal structure in associative retrieval Z Kurth-Nelson, G Barnes, D Sejdinovic, R Dolan, P Dayan Elife 4, e04919, 2015	46	2015
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	42	2014
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	42	2010
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings M Park, W Jitkrittum, D Sejdinovic AISTATS, 2015	40	2015
A Kernel Test for Three-Variable Interactions D Sejdinovic, A Gretton, W Bergsma Advances in Neural Information Processing Systems 26, 2013	40	2013
A wild bootstrap for degenerate kernel tests KP Chwialkowski, D Sejdinovic, A Gretton Advances in neural information processing systems 27, 3608-3616, 2014	39	2014
Hypothesis testing using pairwise distances and associated kernels D Sejdinovic, A Gretton, B Sriperumbudur, K Fukumizu International Conference on Machine Learning (ICML), 2012	35*	2012

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