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On Tilted Losses in Machine Learning: Theory and Applications

On Tilted Losses in Machine Learning: Theory and Applications

13 September 2021
Tian Li
Ahmad Beirami
Maziar Sanjabi
Virginia Smith
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Papers citing "On Tilted Losses in Machine Learning: Theory and Applications"

2 / 2 papers shown
Title
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Chelsea Finn
Pieter Abbeel
Sergey Levine
OOD
231
9,525
0
09 Mar 2017
Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition
Hamed Karimi
J. Nutini
Mark W. Schmidt
112
1,090
0
16 Aug 2016
1