עקוב אחר
Dino Sejdinovic
Dino Sejdinovic
Professor of Statistical Machine Learning, University of Adelaide
כתובת אימייל מאומתת בדומיין adelaide.edu.au - דף הבית
כותרת
צוטט על ידי
צוטט על ידי
שנה
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
7882012
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
7772019
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
7622013
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
3752018
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
2392009
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
2392007
Unrepresentative big surveys significantly overestimated US vaccine uptake‏
V Bradley, S Kuriwaki, M Isakov, D Sejdinovic, XL Meng, S Flaxman‏
Nature, 2021‏
2232021
Probabilistic Integration: A Role in Statistical Computation?‏
FX Briol, CJ Oates, M Girolami, MA Osborne, D Sejdinovic‏
Statistical Science 34 (1), 1-22, 2019‏
211*2019
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
1722009
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
1712015
Towards a Unified Analysis of Random Fourier Features‏
Z Li, JF Ton, D Oglic, D Sejdinovic‏
International Conference on Machine Learning, 3905-3914, 2019‏
1472019
Large-scale kernel methods for independence testing‏
Q Zhang, S Filippi, A Gretton, D Sejdinovic‏
Statistics and Computing 28 (1), 113–130, 2018‏
1402018
K2-ABC: Approximate Bayesian Computation with Kernel Embeddings‏
M Park, W Jitkrittum, D Sejdinovic‏
AISTATS, 2015‏
1082015
Hamiltonian variational auto-encoder‏
AL Caterini, A Doucet, D Sejdinovic‏
Advances in Neural Information Processing Systems 31, 8167-8177, 2018‏
1052018
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
1002010
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
932015
Temporal structure in associative retrieval‏
Z Kurth-Nelson, G Barnes, D Sejdinovic, R Dolan, P Dayan‏
Elife 4, e04919, 2015‏
842015
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
782009
A wild bootstrap for degenerate kernel tests‏
KP Chwialkowski, D Sejdinovic, A Gretton‏
Advances in neural information processing systems 27, 3608-3616, 2014‏
752014
Machine learning enables completely automatic tuning of a quantum device faster than human experts‏
H Moon, DT Lennon, J Kirkpatrick, NM van Esbroeck, LC Camenzind, ...‏
Nature communications 11 (1), 4161, 2020‏
742020
המערכת אינה יכולה לבצע את הפעולה כעת. נסה שוב מאוחר יותר.
מאמרים 1–20