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Online Bilevel Optimization: Regret Analysis of Online Alternating
  Gradient Methods

Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods

6 July 2022
Davoud Ataee Tarzanagh
Parvin Nazari
Bojian Hou
Li Shen
Laura Balzano
ArXivPDFHTML

Papers citing "Online Bilevel Optimization: Regret Analysis of Online Alternating Gradient Methods"

13 / 13 papers shown
Title
Online Nonconvex Bilevel Optimization with Bregman Divergences
Online Nonconvex Bilevel Optimization with Bregman Divergences
Jason Bohne
David Rosenberg
Gary Kazantsev
Pawel Polak
19
0
0
16 Sep 2024
Improving SAM Requires Rethinking its Optimization Formulation
Improving SAM Requires Rethinking its Optimization Formulation
Wanyun Xie
Fabian Latorre
Kimon Antonakopoulos
Thomas Pethick
V. Cevher
26
1
0
17 Jul 2024
Fair Canonical Correlation Analysis
Fair Canonical Correlation Analysis
Zhuoping Zhou
Davoud Ataee Tarzanagh
Bojian Hou
Boning Tong
Jia Xu
Yanbo Feng
Jinjin Yu
Li Shen
52
5
0
27 Sep 2023
Efficient Methods for Non-stationary Online Learning
Efficient Methods for Non-stationary Online Learning
Peng Zhao
Yan-Feng Xie
Lijun Zhang
Zhi-Hua Zhou
28
19
0
16 Sep 2023
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Non-Convex Bilevel Optimization with Time-Varying Objective Functions
Sen-Fon Lin
Daouda Sow
Kaiyi Ji
Yitao Liang
Ness B. Shroff
17
2
0
07 Aug 2023
Federated Multi-Sequence Stochastic Approximation with Local
  Hypergradient Estimation
Federated Multi-Sequence Stochastic Approximation with Local Hypergradient Estimation
Davoud Ataee Tarzanagh
Mingchen Li
Pranay Sharma
Samet Oymak
16
0
0
02 Jun 2023
A framework for bilevel optimization that enables stochastic and global
  variance reduction algorithms
A framework for bilevel optimization that enables stochastic and global variance reduction algorithms
Mathieu Dagréou
Pierre Ablin
Samuel Vaiter
Thomas Moreau
129
95
0
31 Jan 2022
Dynamic Regret Analysis for Online Meta-Learning
Dynamic Regret Analysis for Online Meta-Learning
Parvin Nazari
E. Khorram
CLL
34
5
0
29 Sep 2021
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
A Finite Time Analysis of Two Time-Scale Actor Critic Methods
Yue Wu
Weitong Zhang
Pan Xu
Quanquan Gu
85
145
0
04 May 2020
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness
  of MAML
Rapid Learning or Feature Reuse? Towards Understanding the Effectiveness of MAML
Aniruddh Raghu
M. Raghu
Samy Bengio
Oriol Vinyals
170
634
0
19 Sep 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
99
714
0
13 Jun 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
243
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
404
0
06 Mar 2017
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