A Bayesian Approach to Cluster Validation. - Hoyt A. Koepke; Bertrand S. Clarke (ISAIM, 2008)

On the limits of clustering in high dimensions via cost functions. - Hoyt A. Koepke; Bertrand S. Clarke (Stat. Anal. Data Min., 2011)

Fast Prediction of New Feature Utility. - Hoyt A. Koepke; Mikhail Bilenko (ICML, 2012)

Efficient Identification of Equivalences in Dynamic Graphs and Pedigree Structures. - Hoyt A. Koepke; Elizabeth Thompson (J. Comput. Biol., 2013)

A Bayesian criterion for cluster stability. - Hoyt A. Koepke; Bertrand S. Clarke (Stat. Anal. Data Min., 2013)

Coordinate Descent Converges Faster with the Gauss-Southwell Rule Than Random Selection. - Julie Nutini; Mark Schmidt 001; Issam H. Laradji; Michael P. Friedlander; Hoyt A. Koepke (ICML, 2015)

A General Hybrid Clustering Technique. - Saeid Amiri; Bertrand S. Clarke; Jennifer Clarke; Hoyt A. Koepke (CoRR, 2015)

Convergence Rates for Greedy Kaczmarz Algorithms, and Randomized Kaczmarz Rules Using the Orthogonality Graph. - Julie Nutini; Behrooz Sepehry; Issam H. Laradji; Mark Schmidt 001; Hoyt A. Koepke; Alim Virani (UAI, 2016)

Convergence Rates for Greedy Kaczmarz Algorithms, and Faster Randomized Kaczmarz Rules Using the Orthogonality Graph. - Julie Nutini; Behrooz Sepehry; Issam H. Laradji; Mark Schmidt 001; Hoyt A. Koepke; Alim Virani (CoRR, 2016)