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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

Stephen Gould
Basura Fernando
A. Cherian
Peter Anderson
Rodrigo Santa Cruz
Edison Guo
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Papers citing "On Differentiating Parameterized Argmin and Argmax Problems with Application to Bi-level Optimization"

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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
120
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
115
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