Dougal J. Sutherland
I'm a fourth-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.
A Machine Learning Approach for Dynamical Mass Measurement of Galaxy Clusters.
In preparation for The Astrophysical Journal (ApJ).
Active Pointillistic Pattern Search.
Bayesian Optimization workshop at Neural Information Processing Systems (NIPS).
Active learning and search on low-rank matrices.
ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD).
Kernels on Sample Sets via Nonparametric Divergence Estimates.
Nonparametric kernel estimators for image classification.
IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
Grounding Conceptual Knowledge with Spatio-Temporal
Multi-Dimensional Relational Framework Trees.
University of Oklahoma Artificial Intelligence and Robotics Technical Report #1138, 2012.
Managing User Requests with the Grand Unified Task System (GUTS).
USENIX Large Installation System Administration (LISA) 2012.