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All publications by Dino Sejdinovic
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Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families
Heiko Strathmann, Dino Sejdinovic, Samuel Livingstone, Zoltan Szabo and Arthur Gretton
Advances in Neural Information Processing Systems 28, 2015


Fast Two-Sample Testing with Analytic Representations of Probability Measures
Kacper P. Chwialkowski, Aaditya Ramdas, Dino Sejdinovic and Arthur Gretton
Advances in Neural Information Processing Systems 28, 2015


Kernel Adaptive Metropolis-Hastings
Dino Sejdinovic, Heiko Strathmann, Maria L. Garcia, Christophe Andrieu and Arthur Gretton
Proceedings of the 31st International Conference on Machine Learning (ICML-14), 2014


A Wild Bootstrap for Degenerate Kernel Tests
Kacper P. Chwialkowski, Dino Sejdinovic and Arthur Gretton
Advances in Neural Information Processing Systems 27, 2014


A Kernel Test for Three-Variable Interactions
Dino Sejdinovic, Arthur Gretton and Wicher Bergsma
Advances in Neural Information Processing Systems 26, 2013


Optimal kernel choice for large-scale two-sample tests
Arthur Gretton, Dino Sejdinovic, Heiko Strathmann, Sivaraman Balakrishnan, Massimiliano Pontil, Kenji Fukumizu and Bharath K. Sriperumbudur
Advances in Neural Information Processing Systems 25, 2012


Hypothesis testing using pairwise distances and associated kernels
Dino Sejdinovic, Arthur Gretton, Kenji Fukumizu and Bharath K. Sriperumbudur
Proceedings of the 29th International Conference on Machine Learning (ICML-12), 2012