21 citations · 25 across the 2 of their papers we have counts for
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cs.LG2019★ 4 cited
Secure multi-party linear regression at plaintext speed
Jonathan M. Bloom
We detail distributed algorithms for scalable, secure multiparty linear regression and feature selection at essentially the same speed as plaintext regression. While the core geome…
cs.LG2019★ 21 cited
Loss Landscapes of Regularized Linear Autoencoders
Daniel Kunin, Jonathan M. Bloom, Aleksandrina Goeva +1
Autoencoders are a deep learning model for representation learning. When trained to minimize the distance between the data and its reconstruction, linear autoencoders (LAEs) learn…