5.1k citations · 9.6k across the 102 of their papers we have counts for
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A Scalable Bootstrap for Massive Data
Ariel Kleiner, Ameet Talwalkar, Purnamrita Sarkar +1
The bootstrap provides a simple and powerful means of assessing the quality of estimators. However, in settings involving large datasets---which are increasingly prevalent---the co…
Jointly Predicting Links and Inferring Attributes using a Social-Attribute Network (SAN)
Neil Zhenqiang Gong, Ameet Talwalkar, Lester Mackey +6
The effects of social influence and homophily suggest that both network structure and node attribute information should inform the tasks of link prediction and node attribute infer…
Distributed Matrix Completion and Robust Factorization
Lester Mackey, Ameet Talwalkar, Michael I. Jordan
If learning methods are to scale to the massive sizes of modern datasets, it is essential for the field of machine learning to embrace parallel and distributed computing. Inspired…