Krikamol Muandet

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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 & 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
Zhikun WangGoogleVerified email at google.com
Siyu TangETH ZürichVerified email at inf.ethz.ch
David BalduzziXTX MarketsVerified email at google.com
Wittawat JitkrittumGoogle ResearchVerified email at google.com
Jonas M. KüblerMax Planck Institute for Intelligent SystemsVerified email at tuebingen.mpg.de
Yan ZhangETH ZurichVerified email at inf.ethz.ch
Ilya TolstikhinGoogleVerified email at google.com
Francesco DinuzzoMetaVerified email at fb.com
David Lopez-PazMeta AIVerified email at fb.com
Arash MehrjouETH Zürich - Max Planck InstituteVerified email at tuebingen.mpg.de
Stefan KlusFreie Universität BerlinVerified email at fu-berlin.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
sanparith marukatatNECTECVerified email at nectec.or.th
Isabel ValeraSaarland University and Max Planck Institute for Software SystemsVerified email at cs.uni-saarland.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


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Domain generalization via invariant feature representation K Muandet, D Balduzzi, B Schölkopf International Conference on Machine Learning, 10-18, 2013	638	2013
Domain adaptation under target and conditional shift K Zhang, B Schölkopf, K Muandet, Z Wang International conference on machine learning, 819-827, 2013	496	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	493	2017
Learning from distributions via support measure machines K Muandet, K Fukumizu, F Dinuzzo, B Schölkopf Advances in neural information processing systems 25, 2012	191	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	162	2015
A Permutation-Based Kernel Conditional Independence Test. G Doran, K Muandet, K Zhang, B Schölkopf UAI, 132-141, 2014	91	2014
One-class support measure machines for group anomaly detection K Muandet, B Schölkopf arXiv preprint arXiv:1303.0309, 2013	88	2013
Eigendecompositions of transfer operators in reproducing kernel Hilbert spaces S Klus, I Schuster, K Muandet Journal of Nonlinear Science 30 (1), 283-315, 2020	75	2020
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	75	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	56	2020
Minimax estimation of kernel mean embeddings I Tolstikhin, BK Sriperumbudur, K Muandet The Journal of Machine Learning Research 18 (1), 3002-3048, 2017	55	2017
Kernel mean shrinkage estimators K Muandet, B Sriperumbudur, K Fukumizu, A Gretton, B Schölkopf Journal of Machine Learning Research 17, 2016	43	2016
Regularization, optimization, kernels, and support vector machines JAK Suykens, M Signoretto, A Argyriou CRC Press, 2014	43	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	36	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	35	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	35	2020
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	35	2015
The Randomized Causation Coefficient. D Lopez-Paz, K Muandet, B Recht J. Mach. Learn. Res. 16, 2901-2907, 2015	29	2015
A measure-theoretic approach to kernel conditional mean embeddings J Park, K Muandet Advances in neural information processing systems 33, 21247-21259, 2020	25	2020
Empirical inference: Festschrift in honor of Vladimir N. Vapnik B Schölkopf, Z Luo, V Vovk Springer Science & Business Media, 2013	25	2013

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