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On Differentiating Parameterized Argmin and Argmax Problems with
  Application to Bi-level Optimization

On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization

19 July 2016
Stephen Gould
Basura Fernando
A. Cherian
Peter Anderson
Rodrigo Santa Cruz
Edison Guo
ArXivPDFHTML

Papers citing "On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization"

5 / 5 papers shown
Title
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Imperative Learning: A Self-supervised Neuro-Symbolic Learning Framework for Robot Autonomy
Chen Wang
Kaiyi Ji
Junyi Geng
Zhongqiang Ren
Taimeng Fu
...
Yi Du
Qihang Li
Yue Yang
Xiao Lin
Zhipeng Zhao
SSL
118
10
0
28 Jan 2025
Fully First-Order Methods for Decentralized Bilevel Optimization
Fully First-Order Methods for Decentralized Bilevel Optimization
Xiaoyu Wang
Xuxing Chen
Shiqian Ma
Tong Zhang
77
0
0
25 Oct 2024
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
WAGLE: Strategic Weight Attribution for Effective and Modular Unlearning in Large Language Models
Jinghan Jia
Jiancheng Liu
Yihua Zhang
Parikshit Ram
Nathalie Baracaldo
Sijia Liu
MU
88
2
0
23 Oct 2024
First-Order Methods for Linearly Constrained Bilevel Optimization
First-Order Methods for Linearly Constrained Bilevel Optimization
Guy Kornowski
Swati Padmanabhan
Kai Wang
Zhe Zhang
S. Sra
112
5
0
18 Jun 2024
Deep Learning in Neural Networks: An Overview
Deep Learning in Neural Networks: An Overview
Jürgen Schmidhuber
HAI
176
16,311
0
30 Apr 2014
1