Follow
Motonobu Kanagawa
Title
Cited by
Cited by
Year
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
2182018
Large sample analysis of the median heuristic
D Garreau, W Jitkrittum, M Kanagawa
arXiv preprint arXiv:1707.07269, 2017
812017
Convergence guarantees for kernel-based quadrature rules in misspecified settings
M Kanagawa, BK Sriperumbudur, K Fukumizu
Advances in Neural Information Processing Systems 29, 2016
422016
Convergence analysis of deterministic kernel-based quadrature rules in misspecified settings
M Kanagawa, BK Sriperumbudur, K Fukumizu
Foundations of Computational Mathematics 20, 155-194, 2020
352020
Convergence guarantees for adaptive Bayesian quadrature methods
M Kanagawa, P Hennig
Advances in Neural Information Processing Systems 32, 2019
242019
Filtering with state-observation examples via kernel monte carlo filter
M Kanagawa, Y Nishiyama, A Gretton, K Fukumizu
Neural computation 28 (2), 382-444, 2016
222016
Kernel recursive ABC: Point estimation with intractable likelihood
T Kajihara, M Kanagawa, K Yamazaki, K Fukumizu
International Conference on Machine Learning, 2400-2409, 2018
152018
Counterfactual mean embeddings
K Muandet, M Kanagawa, S Saengkyongam, S Marukatat
The Journal of Machine Learning Research 22 (1), 7322-7392, 2021
142021
Monte Carlo filtering using kernel embedding of distributions
M Kanagawa, Y Nishiyama, A Gretton, K Fukumizu
Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014
142014
Connections and equivalences between the nystr\" om method and sparse variational gaussian processes
V Wild, M Kanagawa, D Sejdinovic
arXiv preprint arXiv:2106.01121, 2021
102021
Unsupervised group matching with application to cross-lingual topic matching without alignment information
T Iwata, M Kanagawa, T Hirao, K Fukumizu
Data mining and knowledge discovery 31, 350-370, 2017
102017
On the positivity and magnitudes of Bayesian quadrature weights
T Karvonen, M Kanagawa, S Särkkä
Statistics and Computing 29, 1317-1333, 2019
82019
Simulator calibration under covariate shift with kernels
K Kisamori, M Kanagawa, K Yamazaki
International Conference on Artificial Intelligence and Statistics, 1244-1253, 2020
72020
Gaussian processes and kernel methods: A review on connections and equivalences. arXiv 2018
M Kanagawa, P Hennig, D Sejdinovic, BK Sriperumbudur
arXiv preprint arXiv:1807.02582, 0
7
Improved random features for dot product kernels
J Wacker, M Kanagawa, M Filippone
arXiv preprint arXiv:2201.08712, 2022
42022
Model-based kernel sum rule: kernel Bayesian inference with probabilistic models
Y Nishiyama, M Kanagawa, A Gretton, K Fukumizu
Machine Learning 109 (5), 939-972, 2020
42020
Intergenerational risk sharing in a Defined Contribution pension system: analysis with Bayesian optimization
A Chen, M Kanagawa, F Zhang
arXiv preprint arXiv:2106.13644, 2021
12021
Empirical representations of probability distributions via kernel mean embeddings
M Kanagawa
12016
Model-based kernel sum rule: Kernel bayesian inference with probabilistic models
Y Nishiyama, M Kanagawa, A Gretton, K Fukumizu
arXiv preprint arXiv:1409.5178, 2014
12014
Model-based Kernel Sum Rule
Y Nishiyama, M Kanagawa, A Gretton, K Fukumizu
stat 1050, 18, 2014
12014
The system can't perform the operation now. Try again later.
Articles 1–20