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Krikamol Muandet
Krikamol Muandet
CISPA - Helmholtz Center for Information Security
Verified email at cispa.de - Homepage
Title
Cited by
Cited by
Year
Domain generalization via invariant feature representation
K Muandet, D Balduzzi, B Schölkopf
International Conference on Machine Learning, 10-18, 2013
7162013
Kernel mean embedding of distributions: A review and beyond
K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf
Foundations and Trends® in Machine Learning 10 (1-2), 1-141, 2017
5332017
Domain adaptation under target and conditional shift
K Zhang, B Schölkopf, K Muandet, Z Wang
International conference on machine learning, 819-827, 2013
5242013
Learning from distributions via support measure machines
K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf
Advances in neural information processing systems 25, 2012
1992012
Towards a learning theory of cause-effect inference
D Lopez-Paz, K Muandet, B Schölkopf, I Tolstikhin
International Conference on Machine Learning, 1452-1461, 2015
1702015
A Permutation-Based Kernel Conditional Independence Test.
G Doran, K Muandet, K Zhang, B Schölkopf
UAI, 132-141, 2014
982014
One-class support measure machines for group anomaly detection
K Muandet, B Schölkopf
arXiv preprint arXiv:1303.0309, 2013
922013
Design and analysis of the NIPS 2016 review process
NB Shah, B Tabibian, K Muandet, I Guyon, U Von Luxburg
Journal of machine learning research, 2018
852018
Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces
S Klus, I Schuster, K Muandet
Journal of Nonlinear Science 30 (1), 283-315, 2020
812020
Grasping field: Learning implicit representations for human grasps
K Karunratanakul, J Yang, Y Zhang, MJ Black, K Muandet, S Tang
2020 International Conference on 3D Vision (3DV), 333-344, 2020
722020
Minimax estimation of kernel mean embeddings
I Tolstikhin, BK Sriperumbudur, K Muandet
The Journal of Machine Learning Research 18 (1), 3002-3048, 2017
592017
Regularization, optimization, kernels, and support vector machines
JAK Suykens, M Signoretto, A Argyriou
CRC Press, 2014
482014
Kernel mean shrinkage estimators
K Muandet, B Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf
Journal of Machine Learning Research 17, 2016
462016
Kernel mean estimation and Stein effect
K Muandet, K Fukumizu, B Sriperumbudur, A Gretton, B Schölkopf
International Conference on Machine Learning, 10-18, 2014
382014
Fair decisions despite imperfect predictions
N Kilbertus, MG Rodriguez, B Schölkopf, K Muandet, I Valera
International Conference on Artificial Intelligence and Statistics, 277-287, 2020
372020
Fair decisions despite imperfect predictions
N Kilbertus, MG Rodriguez, B Schölkopf, K Muandet, I Valera
International Conference on Artificial Intelligence and Statistics, 277-287, 2020
372020
Computing functions of random variables via reproducing kernel Hilbert space representations
B Schölkopf, K Muandet, K Fukumizu, S Harmeling, J Peters
Statistics and Computing 25 (4), 755-766, 2015
352015
Dual instrumental variable regression
K Muandet, A Mehrjou, SK Lee, A Raj
Advances in Neural Information Processing Systems 33, 2710-2721, 2020
332020
The Randomized Causation Coefficient.
D Lopez-Paz, K Muandet, B Recht
J. Mach. Learn. Res. 16, 2901-2907, 2015
312015
A measure-theoretic approach to kernel conditional mean embeddings
J Park, K Muandet
Advances in neural information processing systems 33, 21247-21259, 2020
292020
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Articles 1–20