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Delta-STN: Efficient Bilevel Optimization for Neural Networks using
  Structured Response Jacobians

Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians

26 October 2020
Juhan Bae
Roger C. Grosse
ArXivPDFHTML

Papers citing "Delta-STN: Efficient Bilevel Optimization for Neural Networks using Structured Response Jacobians"

14 / 14 papers shown
Title
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
Relax and penalize: a new bilevel approach to mixed-binary hyperparameter optimization
M. D. Santis
Jordan Frécon
Francesco Rinaldi
Saverio Salzo
Martin Schmidt
Martin Schmidt
53
0
0
21 Aug 2023
Achieving Hierarchy-Free Approximation for Bilevel Programs With
  Equilibrium Constraints
Achieving Hierarchy-Free Approximation for Bilevel Programs With Equilibrium Constraints
Jiayang Li
J. Yu
Boyi Liu
Zhaoran Wang
Y. Nie
32
6
0
20 Feb 2023
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level
  Optimization
CPMLHO:Hyperparameter Tuning via Cutting Plane and Mixed-Level Optimization
Shu-Bo Yang
Yang Jiao
Shaoyu Dou
Mana Zheng
Chen Zhu
17
0
0
11 Dec 2022
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Gradient-based Bi-level Optimization for Deep Learning: A Survey
Can Chen
Xiangshan Chen
Chen-li Ma
Zixuan Liu
Xue Liu
84
35
0
24 Jul 2022
Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods
Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
44
10
0
06 Jul 2022
Layer-wised Model Aggregation for Personalized Federated Learning
Layer-wised Model Aggregation for Personalized Federated Learning
Xiaosong Ma
Jie M. Zhang
Song Guo
Wenchao Xu
FedML
19
170
0
09 May 2022
On the Convergence Theory for Hessian-Free Bilevel Algorithms
On the Convergence Theory for Hessian-Free Bilevel Algorithms
Daouda Sow
Kaiyi Ji
Yingbin Liang
26
28
0
13 Oct 2021
Personalized Federated Learning using Hypernetworks
Personalized Federated Learning using Hypernetworks
Aviv Shamsian
Aviv Navon
Ethan Fetaya
Gal Chechik
FedML
25
324
0
08 Mar 2021
Investigating Bi-Level Optimization for Learning and Vision from a
  Unified Perspective: A Survey and Beyond
Investigating Bi-Level Optimization for Learning and Vision from a Unified Perspective: A Survey and Beyond
Risheng Liu
Jiaxin Gao
Jin Zhang
Deyu Meng
Zhouchen Lin
AI4CE
48
222
0
27 Jan 2021
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
On Solving Minimax Optimization Locally: A Follow-the-Ridge Approach
Yuanhao Wang
Guodong Zhang
Jimmy Ba
33
100
0
16 Oct 2019
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Bilevel Programming for Hyperparameter Optimization and Meta-Learning
Luca Franceschi
P. Frasconi
Saverio Salzo
Riccardo Grazzi
Massimiliano Pontil
107
716
0
13 Jun 2018
Forward and Reverse Gradient-Based Hyperparameter Optimization
Forward and Reverse Gradient-Based Hyperparameter Optimization
Luca Franceschi
Michele Donini
P. Frasconi
Massimiliano Pontil
127
406
0
06 Mar 2017
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
269
5,326
0
05 Nov 2016
Variational Optimization
Variational Optimization
J. Staines
David Barber
DRL
65
53
0
18 Dec 2012
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