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Danica J. Sutherland
Danica J. Sutherland
University of British Columbia + Amii
Verified email at cs.ubc.ca - Homepage
Title
Cited by
Cited by
Year
Demystifying MMD GANs
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
International Conference on Learning Representations, 2018
13262018
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
7662021
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
3122017
On the error of random Fourier features
DJ Sutherland, J Schneider
Uncertainty in Artificial Intelligence, 2015
2122015
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
1732020
Does invariant risk minimization capture invariance?
P Kamath, A Tangella, D Sutherland, N Srebro
International Conference on Artificial Intelligence and Statistics, 4069-4077, 2021
1162021
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
1112015
On gradient regularizers for MMD GANs
M Arbel, DJ Sutherland, M Bińkowski, A Gretton
Advances in neural information processing systems, 6700-6710, 2018
982018
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
852016
Learning deep kernels for exponential family densities
L Wenliang, DJ Sutherland, H Strathmann, A Gretton
International Conference on Machine Learning, 6737-6746, 2019
782019
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
672019
Nonparametric Kernel Estimators for Image Classification
B Póczos, L Xiong, DJ Sutherland, J Schneider
Computer Vision and Pattern Recognition, 2989-2996, 2012
652012
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
612021
Exphormer: Sparse transformers for graphs
H Shirzad, A Velingker, B Venkatachalam, DJ Sutherland, AK Sinop
International Conference on Machine Learning, 31613-31632, 2023
572023
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
572021
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
472013
Bayesian Approaches to Distribution Regression
HCL Law, DJ Sutherland, D Sejdinovic, S Flaxman
AISTATS, 2018
432018
Efficient and principled score estimation with Nyström kernel exponential families
DJ Sutherland, H Strathmann, M Arbel, A Gretton
AISTATS, 2018
412018
On Uniform Convergence and Low-Norm Interpolation Learning
L Zhou, DJ Sutherland, N Srebro
arXiv preprint arXiv:2006.05942, 2020
342020
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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