Danica J. Sutherland 个人学术档案

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	总计	2019 年至今
引用	4129	3746
h 指数	23	21
i10 指数	37	33

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Arthur GrettonGatsby Computational Neuroscience Unit and Google Deepmind在 gatsby.ucl.ac.uk 的电子邮件经过验证
Michael ArbelInria - Univ. Grenoble Alpes在 inria.fr 的电子邮件经过验证
Jeff SchneiderCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Barnabas PoczosAssociate professor, Carnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Mikołaj BińkowskiResearch Scientist, DeepMind在 google.com 的电子邮件经过验证
Heiko StrathmannResearch Scientist at Deepmind在 deepmind.com 的电子邮件经过验证
Nathan SrebroProfessor, TTIC and University of Chicago在 ttic.edu 的电子邮件经过验证
Wonho BaeUniversity of British Columbia, Vancouver在 cs.ubc.ca 的电子邮件经过验证
Lijia ZhouUniversity of Chicago在 uchicago.edu 的电子邮件经过验证
Hy TracAssociate Professor, Department of Physics, McWilliams Center for Cosmology, Carnegie Mellon在 andrew.cmu.edu 的电子邮件经过验证
Michelle NtampakaSpace Telescope Science Institute在 stsci.edu 的电子邮件经过验证
Feng Liu (he/him)Lecturer, University of Melbourne / Visiting Scientist, RIKEN-AIP / Visiting Fellow, UTS-AAII在 unimelb.edu.au 的电子邮件经过验证
Wenkai XuPostdoc, Foundations of Machine Learning Systems group, Tuebingen AI Center在 uni-tuebingen.de 的电子邮件经过验证
Aaditya RamdasStatistics and Machine Learning, Carnegie Mellon University在 stat.cmu.edu 的电子邮件经过验证
Alex SmolaBoson AI在 smola.org 的电子邮件经过验证
Hsiao-Yu (Fish) TungCarnegie Mellon University在 cs.cmu.edu 的电子邮件经过验证
Soumyajit DeBingAds, Microsoft在 microsoft.com 的电子邮件经过验证
Seth Flaxmanassociate professor at Oxford在 cs.ox.ac.uk 的电子邮件经过验证
Sébastien FromenteauInstituto de Ciencias físicas, UNAM在 icf.unam.mx 的电子邮件经过验证
Junier OlivaAssistant Professor, University of North Carolina在 cs.unc.edu 的电子邮件经过验证

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Danica J. Sutherland

University of British Columbia + Amii

在 cs.ubc.ca 的电子邮件经过验证 - 首页

Machine Learning


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Demystifying MMD GANs M Bińkowski, DJ Sutherland, M Arbel, A Gretton International Conference on Learning Representations, 2018	1326	2018
Pot: Python optimal transport R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ... Journal of Machine Learning Research 22 (78), 1-8, 2021	766	2021
Generative models and model criticism via optimized maximum mean discrepancy DJ Sutherland, HY Tung, H Strathmann, S De, A Ramdas, A Smola, ... International Conference on Learning Representations, 2017	312	2017
On the error of random Fourier features DJ Sutherland, J Schneider Uncertainty in Artificial Intelligence, 2015	212	2015
Learning Deep Kernels for Non-Parametric Two-Sample Tests F Liu, W Xu, J Lu, G Zhang, A Gretton, DJ Sutherland arXiv preprint arXiv:2002.09116, 2020	173	2020
Does invariant risk minimization capture invariance? P Kamath, A Tangella, D Sutherland, N Srebro International Conference on Artificial Intelligence and Statistics, 4069-4077, 2021	116	2021
A machine learning approach for dynamical mass measurements of galaxy clusters M Ntampaka, H Trac, DJ Sutherland, N Battaglia, B Póczos, J Schneider The Astrophysical Journal 803 (2), 50, 2015	111	2015
On gradient regularizers for MMD GANs M Arbel, DJ Sutherland, M Bińkowski, A Gretton Advances in neural information processing systems, 6700-6710, 2018	98	2018
Dynamical Mass Measurements of Contaminated Galaxy Clusters Using Machine Learning M Ntampaka, H Trac, DJ Sutherland, S Fromenteau, B Póczos, ... The Astrophysical Journal 831 (2), 2016	85	2016
Learning deep kernels for exponential family densities L Wenliang, DJ Sutherland, H Strathmann, A Gretton International Conference on Machine Learning, 6737-6746, 2019	78	2019
The role of machine learning in the next decade of cosmology M Ntampaka, C Avestruz, S Boada, J Caldeira, J Cisewski-Kehe, ... arXiv preprint arXiv:1902.10159, 2019	67	2019
Nonparametric Kernel Estimators for Image Classification B Póczos, L Xiong, DJ Sutherland, J Schneider Computer Vision and Pattern Recognition, 2989-2996, 2012	65	2012
Self-supervised learning with kernel dependence maximization Y Li, R Pogodin, DJ Sutherland, A Gretton Advances in Neural Information Processing Systems 34, 15543-15556, 2021	61	2021
Exphormer: Sparse transformers for graphs H Shirzad, A Velingker, B Venkatachalam, DJ Sutherland, AK Sinop International Conference on Machine Learning, 31613-31632, 2023	57	2023
Uniform convergence of interpolators: Gaussian width, norm bounds and benign overfitting F Koehler, L Zhou, DJ Sutherland, N Srebro Advances in Neural Information Processing Systems 34, 20657-20668, 2021	57	2021
Active learning and search on low-rank matrices DJ Sutherland, B Póczos, J Schneider Proceedings of the 19th ACM SIGKDD international conference on Knowledge …, 2013	47	2013
Bayesian Approaches to Distribution Regression HCL Law, DJ Sutherland, D Sejdinovic, S Flaxman AISTATS, 2018	43	2018
Efficient and principled score estimation with Nyström kernel exponential families DJ Sutherland, H Strathmann, M Arbel, A Gretton AISTATS, 2018	41	2018
On Uniform Convergence and Low-Norm Interpolation Learning L Zhou, DJ Sutherland, N Srebro arXiv preprint arXiv:2006.05942, 2020	34	2020
Kernels on sample sets via nonparametric divergence estimates DJ Sutherland, L Xiong, B Póczos, J Schneider arXiv preprint arXiv:1202.0302, 2012	32*	2012

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