متابعة
Motonobu Kanagawa
Motonobu Kanagawa
EURECOM
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عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
4382018
Large sample analysis of the median heuristic‏
D Garreau, W Jitkrittum, M Kanagawa‏
arXiv preprint arXiv:1707.07269, 2017‏
1612017
Convergence guarantees for kernel-based quadrature rules in misspecified settings‏
M Kanagawa, BK Sriperumbudur, K Fukumizu‏
Advances in Neural Information Processing Systems 29, 2016‏
552016
Counterfactual mean embeddings‏
K Muandet, M Kanagawa, S Saengkyongam, S Marukatat‏
Journal of Machine Learning Research 22 (162), 1-71, 2021‏
452021
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
442020
Convergence guarantees for adaptive Bayesian quadrature methods‏
M Kanagawa, P Hennig‏
Advances in neural information processing systems 32, 2019‏
412019
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
252016
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
212021
Kernel recursive ABC: Point estimation with intractable likelihood‏
T Kajihara, M Kanagawa, K Yamazaki, K Fukumizu‏
International Conference on Machine Learning, 2400-2409, 2018‏
202018
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
172014
On the positivity and magnitudes of Bayesian quadrature weights‏
T Karvonen, M Kanagawa, S Särkkä‏
Statistics and Computing 29, 1317-1333, 2019‏
152019
Simulator calibration under covariate shift with kernels‏
K Kisamori, M Kanagawa, K Yamazaki‏
International Conference on Artificial Intelligence and Statistics, 1244-1253, 2020‏
122020
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
112017
Improved random features for dot product kernels‏
J Wacker, M Kanagawa, M Filippone‏
Journal of Machine Learning Research 25 (235), 1-75, 2024‏
102024
Intergenerational risk sharing in a defined contribution pension system: analysis with Bayesian optimization‏
A Chen, M Kanagawa, F Zhang‏
ASTIN Bulletin: The Journal of the IAA 53 (3), 515-544, 2023‏
10*2023
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
82020
When is Importance Weighting Correction Needed for Covariate Shift Adaptation?‏
D Gogolashvili, M Zecchin, M Kanagawa, M Kountouris, M Filippone‏
arXiv preprint arXiv:2303.04020, 2023‏
72023
Comparing scale parameter estimators for Gaussian process regression: cross validation and maximum likelihood‏
M Naslidnyk, M Kanagawa, T Karvonen, M Mahsereci‏
arXiv preprint arXiv:2307.07466, 2023‏
52023
Fast Computation of Leave-One-Out Cross-Validation for -NN Regression‏
M Kanagawa‏
arXiv preprint arXiv:2405.04919, 2024‏
22024
Variable selection in maximum mean discrepancy for interpretable distribution comparison‏
K Mitsuzawa, M Kanagawa, S Bortoli, M Grossi, P Papotti‏
arXiv preprint arXiv:2311.01537, 2023‏
22023
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20