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BOML: A Modularized Bilevel Optimization Library in Python for Meta
  Learning

BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning

28 September 2020
Yaohua Liu
Risheng Liu
ArXivPDFHTML

Papers citing "BOML: A Modularized Bilevel Optimization Library in Python for Meta Learning"

11 / 11 papers shown
Title
Advancing Generalized Transfer Attack with Initialization Derived
  Bilevel Optimization and Dynamic Sequence Truncation
Advancing Generalized Transfer Attack with Initialization Derived Bilevel Optimization and Dynamic Sequence Truncation
Yaohua Liu
Jiaxin Gao
Xuan Liu
Xianghao Jiao
Xin-Yue Fan
Risheng Liu
26
1
0
04 Jun 2024
Nonsmooth Implicit Differentiation: Deterministic and Stochastic
  Convergence Rates
Nonsmooth Implicit Differentiation: Deterministic and Stochastic Convergence Rates
Riccardo Grazzi
Massimiliano Pontil
Saverio Salzo
41
1
0
18 Mar 2024
Meta-learning in healthcare: A survey
Meta-learning in healthcare: A survey
Alireza Rafiei
Ronald Moore
S. Jahromi
F. Hajati
Rishikesan Kamaleswaran
19
8
0
05 Aug 2023
DIAMOND: Taming Sample and Communication Complexities in Decentralized
  Bilevel Optimization
DIAMOND: Taming Sample and Communication Complexities in Decentralized Bilevel Optimization
Pei-Yuan Qiu
Yining Li
Zhuqing Liu
Prashant Khanduri
Jia Liu
Ness B. Shroff
Elizabeth S. Bentley
K. Turck
11
4
0
05 Dec 2022
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel
  Programming
A Penalty-Based Method for Communication-Efficient Decentralized Bilevel Programming
Parvin Nazari
Ahmad Mousavi
Davoud Ataee Tarzanagh
George Michailidis
23
4
0
08 Nov 2022
INTERACT: Achieving Low Sample and Communication Complexities in
  Decentralized Bilevel Learning over Networks
INTERACT: Achieving Low Sample and Communication Complexities in Decentralized Bilevel Learning over Networks
Zhuqing Liu
Xin Zhang
Prashant Khanduri
Songtao Lu
Jia Liu
27
11
0
27 Jul 2022
Towards Gradient-based Bilevel Optimization with Non-convex Followers
  and Beyond
Towards Gradient-based Bilevel Optimization with Non-convex Followers and Beyond
Risheng Liu
Yaohua Liu
Shangzhi Zeng
Jin Zhang
19
80
0
01 Oct 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
50
222
0
27 Jan 2021
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
110
716
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
332
11,684
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
127
406
0
06 Mar 2017
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