Dougal Sutherland
Dougal Sutherland
Verifierad e-postadress på ttic.edu - Startsida
TitelCiteras avÅr
Demystifying MMD GANs
M Bińkowski, DJ Sutherland, M Arbel, A Gretton
International Conference on Learning Representations, 2018
1252018
On the error of random Fourier features
DJ Sutherland, J Schneider
Uncertainty in Artificial Intelligence, 2015
942015
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
91*2017
Nonparametric Kernel Estimators for Image Classification
B Póczos, L Xiong, DJ Sutherland, J Schneider
Computer Vision and Pattern Recognition, 2989-2996, 2012
552012
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
492015
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
412016
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
382013
On gradient regularizers for MMD GANs
M Arbel, D Sutherland, M Bińkowski, A Gretton
Advances in Neural Information Processing Systems, 6700-6710, 2018
302018
Kernels on sample sets via nonparametric divergence estimates
DJ Sutherland, L Xiong, B Póczos, J Schneider
arXiv preprint arXiv:1202.0302, 2012
21*2012
Active pointillistic pattern search
Y Ma, D Sutherland, R Garnett, J Schneider
Artificial Intelligence and Statistics, 672-680, 2015
182015
Bayesian Approaches to Distribution Regression
HCL Law, DJ Sutherland, D Sejdinovic, S Flaxman
AISTATS, 2018
17*2018
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
142016
Efficient and principled score estimation with Nyström kernel exponential families
DJ Sutherland, H Strathmann, M Arbel, A Gretton
AISTATS, 2018
13*2018
Linear-time learning on distributions with approximate kernel embeddings
DJ Sutherland, JB Oliva, B Póczos, J Schneider
Thirtieth AAAI Conference on Artificial Intelligence, 2016
122016
Learning deep kernels for exponential family densities
L Wenliang, D Sutherland, H Strathmann, A Gretton
arXiv preprint arXiv:1811.08357, 2018
112018
Scalable, Flexible and Active Learning on Distributions
DJ Sutherland
Carnegie Mellon University, 2016
82016
Deep mean maps
JB Oliva, DJ Sutherland, B Póczos, J Schneider
arXiv preprint arXiv:1511.04150, 2015
82015
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
52019
Scalable, Active and Flexible Learning on Distributions [Thesis Proposal]
DJ Sutherland
Carnegie Mellon University Pittsburgh, PA, 2015
2*2015
Grounding conceptual knowledge with spatio-temporal multi-dimensional relational framework trees
M Bodenhamer, T Palmer, D Sutherland, AH Fagg
School of Computer Science, University of Oklahoma, Tech. Rep. TR-AIR-1138, 2012
22012
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Artiklar 1–20