Krikamol Muandet

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	All	Since 2016
Citations	1729	1545
h-index	15	15
i10-index	18	17

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20132014201520162017201820192020202114 46 92 151 171 259 376 561 20

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Bernhard SchölkopfDirector, Max Planck Institute for Intelligent Systems; Professor at ETH Zürich, and DistinguishedVerified email at tuebingen.mpg.de
Kenji FukumizuThe Institute of Statistical MathematicsVerified email at ism.ac.jp
Bharath SriperumbudurPennsylvania State UniversityVerified email at psu.edu
Kun ZhangCarnegie Mellon University & Max-Planck Institute for Intelligent SystemsVerified email at cmu.edu
Zhikun WangGoogleVerified email at google.com
arthur grettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Francesco DinuzzoPrincipal Scientist at Expedia GroupVerified email at expedia.com
Ilya TolstikhinGoogleVerified email at google.com
David Lopez-PazResearch Scientist, Facebook AI ParisVerified email at fb.com
David BalduzziXTX MarketsVerified email at google.com
Siyu TangETH ZürichVerified email at inf.ethz.ch
Arash Mehrjoueth-mpiVerified email at tuebingen.mpg.de
Stefan KlusFreie Universität BerlinVerified email at fu-berlin.de
Ingmar SchusterSenior Applied Scientist, Zalando SEVerified email at zalando.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Yan ZhangETH ZurichVerified email at inf.ethz.ch
Stefan HarmelingProfessor at Heinrich-Heine-Universität DüsseldorfVerified email at hhu.de
Gary DoranJet Propulsion LaboratoryVerified email at jpl.nasa.gov
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Jonas M. KüblerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de

Krikamol Muandet

Max Planck Institute for Intelligent Systems

Verified email at tuebingen.mpg.de - Homepage

Kernel Methods Counterfactual Learning Statistical Learning Theory Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
Domain adaptation under target and conditional shift K Zhang, B Schölkopf, K Muandet, Z Wang International Conference on Machine Learning, 819-827, 2013	324	2013
Domain generalization via invariant feature representation K Muandet, D Balduzzi, B Schölkopf International Conference on Machine Learning, 10-18, 2013	318	2013
Kernel mean embedding of distributions: A review and beyond K Muandet, K Fukumizu, B Sriperumbudur, B Schölkopf arXiv preprint arXiv:1605.09522, 2016	288	2016
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf arXiv preprint arXiv:1202.6504, 2012	164	2012
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	123	2015
One-class support measure machines for group anomaly detection K Muandet, B Schölkopf arXiv preprint arXiv:1303.0309, 2013	69	2013
A Permutation-Based Kernel Conditional Independence Test. G Doran, K Muandet, K Zhang, B Schölkopf UAI, 132-141, 2014	63	2014
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	35	2018
Kernel mean shrinkage estimators K Muandet, B Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf Journal of Machine Learning Research 17, 2016	34	2016
Regularization, optimization, kernels, and support vector machines JAK Suykens, M Signoretto, A Argyriou CRC Press, 2014	33	2014
Kernel mean estimation and stein effect K Muandet, K Fukumizu, B Sriperumbudur, A Gretton, B Schölkopf International Conference on Machine Learning, 10-18, 2014	32	2014
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	31	2015
Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces S Klus, I Schuster, K Muandet Journal of Nonlinear Science 30 (1), 283-315, 2020	30	2020
Minimax estimation of kernel mean embeddings I Tolstikhin, BK Sriperumbudur, K Muandet The Journal of Machine Learning Research 18 (1), 3002-3048, 2017	30	2017
The Randomized Causation Coefficient. D Lopez-Paz, K Muandet, B Recht J. Mach. Learn. Res. 16, 2901-2907, 2015	22	2015
Empirical inference: Festschrift in honor of Vladimir N. Vapnik B Schölkopf, Z Luo, V Vovk Springer Science & Business Media, 2013	13	2013
Dual iv: A single stage instrumental variable regression K Muandet, A Mehrjou, SK Lee, A Raj arXiv preprint arXiv:1910.12358, 2019	12	2019
Kernel mean estimation via spectral filtering K Muandet, B Sriperumbudur, B Schölkopf arXiv preprint arXiv:1411.0900, 2014	12	2014
Local temporal bilinear pooling for fine-grained action parsing Y Zhang, S Tang, K Muandet, C Jarvers, H Neumann Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019	8	2019
Tersesvm: A scalable approach for learning compact models in large-scale classification R Babbar, K Maundet, B Schölkopf Proceedings of the 2016 SIAM International Conference on Data Mining, 234-242, 2016	8	2016

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