Krikamol Muandet

Cited by

	All	Since 2018
Citations	3440	2921
h-index	22	21
i10-index	30	29

860

430

215

645

2013201420152016201720182019202020212022202316 43 99 142 188 242 362 543 855 850 65

Public access

View all

8 articles

1 article

available

not available

Based on funding mandates

Co-authors

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 & Mohamed bin Zayed University of Artificial Intelligence (MBZUAI)Verified email at cmu.edu
Arthur GrettonGatsby Computational Neuroscience Unit, UCLVerified email at gatsby.ucl.ac.uk
Siyu TangETH ZürichVerified email at inf.ethz.ch
Zhikun WangGoogleVerified email at google.com
David BalduzziXTX MarketsVerified email at google.com
Yan ZhangETH ZurichVerified email at inf.ethz.ch
Jonas M. KüblerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Ilya TolstikhinGoogleVerified email at google.com
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Francesco DinuzzoMetaVerified email at fb.com
David Lopez-PazMeta AIVerified email at fb.com
Stefan KlusHeriot-Watt UniversityVerified email at hw.ac.uk
Arash MehrjouETH Zürich - Max Planck InstituteVerified email at tuebingen.mpg.de
Niki KilbertusTechnical University of Munich & Helmholtz AIVerified email at tum.de
Heiko NeumannProfessor for Computer Science, Ulm University, Institute of Neural Information ProcessingVerified email at uni-ulm.de
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.de
Manuel Gomez RodriguezFaculty, Max Planck Institute for Software Systems (MPI-SWS)Verified email at mpi-sws.org

Krikamol Muandet

CISPA - Helmholtz Center for Information Security

Verified email at cispa.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 generalization via invariant feature representation K Muandet, D Balduzzi, B Schölkopf International conference on machine learning, 10-18, 2013	762	2013
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	565	2017
Domain adaptation under target and conditional shift K Zhang, B Schölkopf, K Muandet, Z Wang International conference on machine learning, 819-827, 2013	544	2013
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf Advances in neural information processing systems 25, 2012	203	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	170	2015
A Permutation-Based Kernel Conditional Independence Test. G Doran, K Muandet, K Zhang, B Schölkopf UAI, 132-141, 2014	100	2014
Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces S Klus, I Schuster, K Muandet Journal of Nonlinear Science 30, 283-315, 2020	94	2020
One-class support measure machines for group anomaly detection K Muandet, B Schölkopf arXiv preprint arXiv:1303.0309, 2013	93	2013
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	88	2018
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	81	2020
Minimax estimation of kernel mean embeddings I Tolstikhin, BK Sriperumbudur, K Muandet The Journal of Machine Learning Research 18 (1), 3002-3048, 2017	60	2017
Dual instrumental variable regression K Muandet, A Mehrjou, SK Lee, A Raj Advances in Neural Information Processing Systems 33, 2710-2721, 2020	55	2020
Kernel mean shrinkage estimators K Muandet, B Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf Journal of Machine Learning Research 17, 2016	49	2016
Regularization, optimization, kernels, and support vector machines JAK Suykens, M Signoretto, A Argyriou CRC Press, 2014	49	2014
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	43	2020
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	43	2020
A measure-theoretic approach to kernel conditional mean embeddings J Park, K Muandet Advances in neural information processing systems 33, 21247-21259, 2020	40	2020
Kernel mean estimation and stein effect K Muandet, K Fukumizu, B Sriperumbudur, A Gretton, B Schölkopf International Conference on Machine Learning, 10-18, 2014	40	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, 755-766, 2015	37	2015
Empirical inference: Festschrift in honor of Vladimir N. Vapnik B Schölkopf, Z Luo, V Vovk Springer Science & Business Media, 2013	34	2013

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors