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Being Properly Improper

Being Properly Improper

18 June 2021
Tyler Sypherd
Richard Nock
Lalitha Sankar
    FaML
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Papers citing "Being Properly Improper"

3 / 3 papers shown
Title
LegendreTron: Uprising Proper Multiclass Loss Learning
LegendreTron: Uprising Proper Multiclass Loss Learning
Kevin Lam
Christian J. Walder
S. Penev
Richard Nock
29
0
0
27 Jan 2023
Fair Wrapping for Black-box Predictions
Fair Wrapping for Black-box Predictions
Alexander Soen
Ibrahim M. Alabdulmohsin
Sanmi Koyejo
Yishay Mansour
Nyalleng Moorosi
Richard Nock
Ke Sun
Lexing Xie
FaML
36
6
0
31 Jan 2022
On Tilted Losses in Machine Learning: Theory and Applications
On Tilted Losses in Machine Learning: Theory and Applications
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
47
43
0
13 Sep 2021
1