D.J. Sutherland
D.J. Sutherland
Toyota Technological Institute at Chicago
Bestätigte E-Mail-Adresse bei ttic.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Demystifying MMD GANs
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
International Conference on Learning Representations, 2018
2232018
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
119*2017
On the error of random Fourier features
DJ Sutherland, J Schneider
Uncertainty in Artificial Intelligence, 2015
1062015
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
672015
Nonparametric Kernel Estimators for Image Classification
B Póczos, L Xiong, DJ Sutherland, J Schneider
Computer Vision and Pattern Recognition, 2989-2996, 2012
592012
On gradient regularizers for MMD GANs
M Arbel, D Sutherland, M Bińkowski, A Gretton
Advances in neural information processing systems, 6700-6710, 2018
532018
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
532016
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
392013
Learning deep kernels for exponential family densities
L Wenliang, D Sutherland, H Strathmann, A Gretton
International Conference on Machine Learning, 6737-6746, 2019
242019
Bayesian Approaches to Distribution Regression
HCL Law, DJ Sutherland, D Sejdinovic, S Flaxman
AISTATS, 2018
23*2018
Kernels on sample sets via nonparametric divergence estimates
DJ Sutherland, L Xiong, B Póczos, J Schneider
arXiv preprint arXiv:1202.0302, 2012
23*2012
Active pointillistic pattern search
Y Ma, D Sutherland, R Garnett, J Schneider
Artificial Intelligence and Statistics, 672-680, 2015
192015
Efficient and principled score estimation with Nyström kernel exponential families
DJ Sutherland, H Strathmann, M Arbel, A Gretton
AISTATS, 2018
18*2018
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
172019
Understanding the 2016 US Presidential Election using ecological inference and distribution regression with census microdata
S Flaxman, D Sutherland, YX Wang, YW Teh
arXiv preprint arXiv:1611.03787, 2016
172016
Linear-time learning on distributions with approximate kernel embeddings
DJ Sutherland, JB Oliva, B Póczos, J Schneider
arXiv preprint arXiv:1509.07553, 2015
152015
Scalable, Flexible and Active Learning on Distributions
DJ Sutherland
Carnegie Mellon University, 2016
92016
Deep mean maps
JB Oliva, DJ Sutherland, B Póczos, J Schneider
arXiv preprint arXiv:1511.04150, 2015
92015
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
72020
Unbiased estimators for the variance of MMD estimators
DJ Sutherland
arXiv preprint arXiv:1906.02104, 2019
42019
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