ML Anthology

Eisenstat, David

5 publications

NeurIPS 2022 Hierarchical Agglomerative Graph Clustering in Poly-Logarithmic Depth Laxman Dhulipala, David Eisenstat, Jakub Lacki, Vahab Mirrokni, Jessica Shi
ICML 2021 Hierarchical Agglomerative Graph Clustering in Nearly-Linear Time Laxman Dhulipala, David Eisenstat, Jakub Łącki, Vahab Mirrokni, Jessica Shi
ALT 2010 Lower Bounds on Learning Random Structures with Statistical Queries Dana Angluin, David Eisenstat, Leonid Kontorovich, Lev Reyzin
JMLR 2009 Learning Acyclic Probabilistic Circuits Using Test Paths Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin
COLT 2008 Learning Acyclic Probabilistic Circuits Using Test Paths Dana Angluin, James Aspnes, Jiang Chen, David Eisenstat, Lev Reyzin