Hoyt Koepke
Hoyt Koepke
University of Washington Department of Statistics
Verified email at stat.washington.edu - Homepage
Cited by
Cited by
Coordinate descent converges faster with the gauss-southwell rule than random selection
J Nutini, M Schmidt, I Laradji, M Friedlander, H Koepke
International Conference on Machine Learning, 1632-1641, 2015
Convergence rates for greedy Kaczmarz algorithms, and faster randomized Kaczmarz rules using the orthogonality graph
J Nutini, B Sepehry, I Laradji, M Schmidt, H Koepke, A Virani
arXiv preprint arXiv:1612.07838, 2016
Why Python rocks for research
H Koepke
Hacker Monthly 8, 2011
Estimation of predictive accuracy gains from added features
M Bilenko, HA Koepke
US Patent 8,930,289, 2015
Convergence rates for greedy Kaczmarz algorithms
J Nutini, B Sepehry, A Virani, I Laradji, M Schmidt, H Koepke
Conference on Uncertainty in Artificial Intelligence, 2016
A Bayesian criterion for cluster stability
H Koepke, B Clarke
Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (4 …, 2013
Fast prediction of new feature utility
H Koepke, M Bilenko
arXiv preprint arXiv:1206.4680, 2012
Polymeric film having a coating layer of a phosphonic acid group containing polymer
NS Brabbs, AC Street, K Goodchild, C Chappel Jr, JA Siddiqui, ...
US Patent 6,759,178, 2004
A general hybrid clustering technique
S Amiri, BS Clarke, JL Clarke, H Koepke
Journal of Computational and Graphical Statistics 28 (3), 540-551, 2019
Efficient identification of equivalences in dynamic graphs and pedigree structures
H Koepke, E Thompson
Journal of Computational Biology 20 (8), 551-570, 2013
On the limits of clustering in high dimensions via cost functions
HA Koepke, BS Clarke
Statistical Analysis and Data Mining: The ASA Data Science Journal 4 (1), 30-53, 2011
A general hybrid clustering technique
S Amiri, B Clarke, J Clarke, HA Koepke
arXiv preprint arXiv:1503.01183, 2015
Efficient testing operations on dynamic graph structures using strong hash functions
H Koepke, EA Thompson
Department of Statistics, technical reports, 2010
Bayesian cluster validation
HA Koepke
University of British Columbia, 2008
Comparison of hematologic and biochemical test results in blood samples obtained by jugular venipuncture versus nail clip in Moluccan cockatoos (Cacatua moluccensis)
TD Bennett, DV Lejnieks, H Koepke, F Grimson, J Szucs, K Omaits, ...
Journal of avian medicine and surgery, 303-312, 2015
A Bayesian Approach to Cluster Validation.
HA Koepke, BS Clarke
ISAIM, 2008
An Algorithmic Framework for High Dimensional Regression with Dependent Variables
H Koepke
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure
H Koepke, M Meila
arXiv preprint arXiv:1312.1970, 2013
Graphcuts for General Quadratic Binary Problems
H Koepke, M Meila, R Johnson
Class notes for Math 544 Probability Theory
HA Koepke
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