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Amortized Proximal Optimization

Amortized Proximal Optimization

28 February 2022
Juhan Bae
Paul Vicol
Jeff Z. HaoChen
Roger C. Grosse
    ODL
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Papers citing "Amortized Proximal Optimization"

7 / 7 papers shown
Title
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
Connecting NTK and NNGP: A Unified Theoretical Framework for Wide Neural Network Learning Dynamics
Yehonatan Avidan
Qianyi Li
H. Sompolinsky
40
7
0
08 Sep 2023
Eva: A General Vectorized Approximation Framework for Second-order
  Optimization
Eva: A General Vectorized Approximation Framework for Second-order Optimization
Lin Zhang
S. Shi
Bo-wen Li
13
1
0
04 Aug 2023
A Closer Look at Learned Optimization: Stability, Robustness, and
  Inductive Biases
A Closer Look at Learned Optimization: Stability, Robustness, and Inductive Biases
James Harrison
Luke Metz
Jascha Narain Sohl-Dickstein
36
22
0
22 Sep 2022
Tutorial on amortized optimization
Tutorial on amortized optimization
Brandon Amos
OffRL
63
42
0
01 Feb 2022
L4: Practical loss-based stepsize adaptation for deep learning
L4: Practical loss-based stepsize adaptation for deep learning
Michal Rolínek
Georg Martius
ODL
29
63
0
14 Feb 2018
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
237
11,568
0
09 Mar 2017
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
112
370
0
06 Mar 2017
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