Dougal J. Sutherland

I'm a fifth-year Ph.D. student in the CS department at Carnegie Mellon University, working with Jeff Schneider on machine learning.

I'm primarily interested in learning on sets and distributions and also in active learning, particularly in nonstandard settings such as matrices and searching for large-scale patterns.

My personal page has non-research stuff. Some research code is on github; some of that is signed with my GPG key. I also pretend that crossvalidated and stackoverflow are kind of like research.

Below, ** denotes equal contribution.

In Submission

Michelle Ntampaka, Hy Trac, Dougal J. Sutherland, Sebastian Fromenteau, Barnabás Póczos, and Jeff Schneider. Dynamical Mass Measurements of Contaminated Galaxy Clusters Using Machine Learning. [arXiv]

Journal and Peer-Reviewed Conference Papers

Dougal J. Sutherland and Jeff Schneider, 2015. On the Error of Random Fourier Features. Conference on Uncertainty in Artificial Intelligience (UAI). [official pdf] [with appendix] [arXiv] [poster]

Yifei Ma**, Dougal J. Sutherland**, Roman Garnett, and Jeff Schneider, 2015. Active Pointillistic Pattern Search. International Conference on Artificial Intelligience and Statistics (AISTATS). [official] [pdf] [appendix] [poster]

Michelle Ntampaka, Hy Trac, Dougal J. Sutherland, Nicholas Battaglia, Barnabás Póczos, and Jeff Schneider, 2015. A Machine Learning Approach for Dynamical Mass Measurements of Galaxy Clusters. The Astrophysical Journal (ApJ), 803, 50. [official] [arXiv]

Dougal J. Sutherland, Barnabás Póczos, and Jeff Schneider, 2013. Active learning and search on low-rank matrices. ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD). [official] [pdf] [poster] [slides] [code]

Barnabás Póczos, Liang Xiong, Dougal J. Sutherland, and Jeff Schneider, 2012. Nonparametric kernel estimators for image classification. IEEE Conference on Computer Vision and Pattern Recognition (CVPR). [official] [pdf] [poster]

Andrew Stromme, Dougal J. Sutherland, Alexander Burka, Benjamin Lipton, Nicholas Felt, Rebecca Roelofs, Daniel-Elia Feist-Alexandrov, Steve Dini, and Allen Welkie (the Swarthmore College Computer Society), 2012. Managing User Requests with the Grand Unified Task System (GUTS). USENIX Large Installation System Administration (LISA). [official] [pdf] [slides] [talk]

Workshop Papers and Technical Reports

Yifei Ma, Dougal J. Sutherland, Roman Garnett, and Jeff Schneider, 2014. Active Pointillistic Pattern Search. Bayesian Optimization workshop (BayesOpt) at the Annual Conference on Neural Information Processing Systems (NIPS). [pdf] [poster]

Dougal J. Sutherland, Liang Xiong, Barnabás Póczos, and Jeff Schneider, 2012. Kernels on Sample Sets via Nonparametric Divergence Estimates. Technical report. [arXiv]

Matthew Bodenhamer, Thomas Palmer, Dougal J. Sutherland, and Andrew H. Fagg, 2012. Grounding Conceptual Knowledge with Spatio-Temporal Multi-Dimensional Relational Framework Trees. University of Oklahoma Artificial Intelligence and Robotics Technical Report #1138. [pdf]