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Danica J. Sutherland
Danica J. Sutherland
University of British Columbia
Bestätigte E-Mail-Adresse bei cs.ubc.ca - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Demystifying MMD GANs
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
International Conference on Learning Representations, 2018
7212018
Pot: Python optimal transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
The Journal of Machine Learning Research 22 (1), 3571-3578, 2021
3652021
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
257*2017
On the error of random Fourier features
DJ Sutherland, J Schneider
Uncertainty in Artificial Intelligence, 2015
1772015
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
1062020
On gradient regularizers for MMD GANs
M Arbel, DJ Sutherland, M Bińkowski, A Gretton
Advances in neural information processing systems, 6700-6710, 2018
902018
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
892015
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
712016
Learning deep kernels for exponential family densities
L Wenliang, DJ Sutherland, H Strathmann, A Gretton
International Conference on Machine Learning, 6737-6746, 2019
612019
Does invariant risk minimization capture invariance?
P Kamath, A Tangella, D Sutherland, N Srebro
International Conference on Artificial Intelligence and Statistics, 4069-4077, 2021
592021
Nonparametric Kernel Estimators for Image Classification
B Póczos, L Xiong, DJ Sutherland, J Schneider
Computer Vision and Pattern Recognition, 2989-2996, 2012
592012
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
532019
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
442013
Efficient and principled score estimation with Nyström kernel exponential families
DJ Sutherland, H Strathmann, M Arbel, A Gretton
AISTATS, 2018
352018
Kernels on sample sets via nonparametric divergence estimates
DJ Sutherland, L Xiong, B Póczos, J Schneider
arXiv preprint arXiv:1202.0302, 2012
30*2012
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
242021
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
242021
Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
S Flaxman, DJ Sutherland, YX Wang, YW Teh
arXiv preprint arXiv:1611.03787, 2016
242016
Active pointillistic pattern search
Y Ma, DJ Sutherland, R Garnett, J Schneider
Artificial Intelligence and Statistics, 672-680, 2015
222015
Bayesian Approaches to Distribution Regression
HCL Law, DJ Sutherland, D Sejdinovic, S Flaxman
AISTATS, 2018
212018
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