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 | 274 | 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 | 67 | 2016 |
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 | 18 | 2016 |
Why Python rocks for research H Koepke Hacker Monthly 8, 2011 | 18 | 2011 |
Estimation of predictive accuracy gains from added features M Bilenko, HA Koepke US Patent 8,930,289, 2015 | 16 | 2015 |
A Bayesian criterion for cluster stability H Koepke, B Clarke Statistical Analysis and Data Mining: The ASA Data Science Journal 6 (4 …, 2013 | 11 | 2013 |
Fast prediction of new feature utility H Koepke, M Bilenko arXiv preprint arXiv:1206.4680, 2012 | 10 | 2012 |
A general hybrid clustering technique S Amiri, BS Clarke, JL Clarke, H Koepke Journal of Computational and Graphical Statistics 28 (3), 540-551, 2019 | 9 | 2019 |
Efficient testing operations on dynamic graph structures using strong hash functions HA Koepke, EA Thompson Department of Statistics, technical reports, 2010 | 8 | 2010 |
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 | 7 | 2011 |
A general hybrid clustering technique S Amiri, B Clarke, J Clarke, HA Koepke arXiv preprint arXiv:1503.01183, 2015 | 6 | 2015 |
Efficient identification of equivalences in dynamic graphs and pedigree structures H Koepke, E Thompson Journal of Computational Biology 20 (8), 551-570, 2013 | 5 | 2013 |
Bayesian cluster validation HA Koepke University of British Columbia, 2008 | 5 | 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 | 3 | 2015 |
Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph J Nutini, M Schmidt, B Sepehry, H Koepke, I Laradji, A Virani J. Fourier Anal. Appl 15 (2), 262-278, 2009 | 2 | 2009 |
A Bayesian Approach to Cluster Validation. HA Koepke, BS Clarke ISAIM, 2008 | 1 | 2008 |
Estimation of predictive accuracy gains from added features M Bilenko, HA Koepke US Patent 10,210,456, 2019 | | 2019 |
An Algorithmic Framework for High Dimensional Regression with Dependent Variables H Koepke | | 2014 |
An Algorithmic Theory of Dependent Regularizers, Part 1: Submodular Structure H Koepke, M Meila arXiv preprint arXiv:1312.1970, 2013 | | 2013 |
Graphcuts for General Quadratic Binary Problems H Koepke, M Meila, R Johnson | | 2011 |