no code implementations • 15 Jun 2023 • Matthew Stewart, Pete Warden, Yasmine Omri, Shvetank Prakash, Joao Santos, Shawn Hymel, Benjamin Brown, Jim MacArthur, Nat Jeffries, Sachin Katti, Brian Plancher, Vijay Janapa Reddi
Machine learning (ML) sensors are enabling intelligence at the edge by empowering end-users with greater control over their data.
no code implementations • 19 Oct 2022 • Benjamin Brown, Kai Zhang, Xiao-Li Meng
Two linearly uncorrelated binary variables must be also independent because non-linear dependence cannot manifest with only two possible states.
1 code implementation • 7 Jun 2021 • Vijay Janapa Reddi, Brian Plancher, Susan Kennedy, Laurence Moroney, Pete Warden, Anant Agarwal, Colby Banbury, Massimo Banzi, Matthew Bennett, Benjamin Brown, Sharad Chitlangia, Radhika Ghosal, Sarah Grafman, Rupert Jaeger, Srivatsan Krishnan, Maximilian Lam, Daniel Leiker, Cara Mann, Mark Mazumder, Dominic Pajak, Dhilan Ramaprasad, J. Evan Smith, Matthew Stewart, Dustin Tingley
Broadening access to both computational and educational resources is critical to diffusing machine-learning (ML) innovation.
no code implementations • 9 Jan 2017 • Benjamin Brown, Timothy Weaver, Julian Wolfson
We present a novel method for variable selection in regression models when covariates are measured with error.