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Linear Convergence of Gradient and Proximal-Gradient Methods Under the
  Polyak-Łojasiewicz Condition
v1v2v3v4 (latest)

Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition

16 August 2016
Hamed Karimi
J. Nutini
Mark Schmidt
ArXiv (abs)PDFHTML

Papers citing "Linear Convergence of Gradient and Proximal-Gradient Methods Under the Polyak-Łojasiewicz Condition"

50 / 602 papers shown
Title
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with
  Variational Quantum Circuits
Leveraging Pre-Trained Neural Networks to Enhance Machine Learning with Variational Quantum Circuits
Jun Qi
Chao-Han Huck Yang
Samuel Yen-Chi Chen
Pin-Yu Chen
Hector Zenil
Jesper Tegner
99
1
0
13 Nov 2024
Analysis of regularized federated learning
Analysis of regularized federated learning
Langming Liu
Dingxuan Zhou
FedML
78
2
0
03 Nov 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and
  Mixed Poisoning Attacks
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks
Tao Li
Henger Li
Yunian Pan
Tianyi Xu
Zizhan Zheng
Quanyan Zhu
FedML
100
8
0
22 Oct 2024
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of
  Convergence under Polyak-Lojasiewicz Inequality
Polyak's Heavy Ball Method Achieves Accelerated Local Rate of Convergence under Polyak-Lojasiewicz Inequality
Sebastian Kassing
Simon Weissmann
86
4
0
22 Oct 2024
S-CFE: Simple Counterfactual Explanations
S-CFE: Simple Counterfactual Explanations
Shpresim Sadiku
Moritz Wagner
Sai Ganesh Nagarajan
Sebastian Pokutta
244
1
0
21 Oct 2024
Tighter Performance Theory of FedExProx
Tighter Performance Theory of FedExProx
Wojciech Anyszka
Kaja Gruntkowska
Alexander Tyurin
Peter Richtárik
FedML
85
1
0
20 Oct 2024
Active-Dormant Attention Heads: Mechanistically Demystifying
  Extreme-Token Phenomena in LLMs
Active-Dormant Attention Heads: Mechanistically Demystifying Extreme-Token Phenomena in LLMs
Tianyu Guo
Druv Pai
Yu Bai
Jiantao Jiao
Michael I. Jordan
Song Mei
98
16
0
17 Oct 2024
Loss Landscape Characterization of Neural Networks without
  Over-Parametrization
Loss Landscape Characterization of Neural Networks without Over-Parametrization
Rustem Islamov
Niccolò Ajroldi
Antonio Orvieto
Aurelien Lucchi
135
6
0
16 Oct 2024
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
On the Training Convergence of Transformers for In-Context Classification of Gaussian Mixtures
Wei Shen
Ruida Zhou
Jing Yang
Cong Shen
134
5
0
15 Oct 2024
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
Sharpness-Aware Minimization Efficiently Selects Flatter Minima Late in Training
Zhanpeng Zhou
Mingze Wang
Yuchen Mao
Bingrui Li
Junchi Yan
AAML
255
3
0
14 Oct 2024
Stability and Sharper Risk Bounds with Convergence Rate $O(1/n^2)$
Stability and Sharper Risk Bounds with Convergence Rate O(1/n2)O(1/n^2)O(1/n2)
Bowei Zhu
Shaojie Li
Yong Liu
80
0
0
13 Oct 2024
Towards Sharper Risk Bounds for Minimax Problems
Towards Sharper Risk Bounds for Minimax Problems
Bowei Zhu
Shaojie Li
Yong Liu
111
0
0
11 Oct 2024
Nesterov acceleration in benignly non-convex landscapes
Nesterov acceleration in benignly non-convex landscapes
Kanan Gupta
Stephan Wojtowytsch
120
2
0
10 Oct 2024
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for
  EdgeIoT
A Novel Framework of Horizontal-Vertical Hybrid Federated Learning for EdgeIoT
Kai Li
Yilei Liang
Xin Yuan
Wei Ni
Jon Crowcroft
Chau Yuen
Ozgur B. Akan
FedML
85
3
0
02 Oct 2024
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Zeroth-Order Policy Gradient for Reinforcement Learning from Human Feedback without Reward Inference
Qining Zhang
Lei Ying
OffRL
190
6
0
25 Sep 2024
From exponential to finite/fixed-time stability: Applications to
  optimization
From exponential to finite/fixed-time stability: Applications to optimization
Ibrahim Kurban Özaslan
Mihailo R. Jovanović
84
2
0
18 Sep 2024
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
Rewind-to-Delete: Certified Machine Unlearning for Nonconvex Functions
Siqiao Mu
Diego Klabjan
MU
205
6
0
15 Sep 2024
Compute-Update Federated Learning: A Lattice Coding Approach
Compute-Update Federated Learning: A Lattice Coding Approach
Seyed Mohammad Azimi-Abarghouyi
Lav Varshney
FedML
88
2
0
10 Sep 2024
Smoothed Robust Phase Retrieval
Smoothed Robust Phase Retrieval
Zhong Zheng
Lingzhou Xue
75
3
0
03 Sep 2024
In-Context Learning with Representations: Contextual Generalization of
  Trained Transformers
In-Context Learning with Representations: Contextual Generalization of Trained Transformers
Tong Yang
Yu Huang
Yingbin Liang
Yuejie Chi
MLT
139
16
0
19 Aug 2024
Mask in the Mirror: Implicit Sparsification
Mask in the Mirror: Implicit Sparsification
Tom Jacobs
R. Burkholz
251
4
0
19 Aug 2024
Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer
  Narrow Networks
Absence of Closed-Form Descriptions for Gradient Flow in Two-Layer Narrow Networks
Yeachan Park
AI4CE
131
0
0
15 Aug 2024
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying
  Networks
Nonlinear Perturbation-based Non-Convex Optimization over Time-Varying Networks
Mohammadreza Doostmohammadian
Zulfiya R. Gabidullina
Hamid R. Rabiee
98
12
0
05 Aug 2024
Complexity of Minimizing Projected-Gradient-Dominated Functions with
  Stochastic First-order Oracles
Complexity of Minimizing Projected-Gradient-Dominated Functions with Stochastic First-order Oracles
Saeed Masiha
Saber Salehkaleybar
Niao He
Negar Kiyavash
Patrick Thiran
93
2
0
03 Aug 2024
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Optimal Hessian/Jacobian-Free Nonconvex-PL Bilevel Optimization
Feihu Huang
113
6
0
25 Jul 2024
Quantum Natural Stochastic Pairwise Coordinate Descent
Quantum Natural Stochastic Pairwise Coordinate Descent
Mohammad Aamir Sohail
M. H. Khoozani
S. S. Pradhan
127
3
0
18 Jul 2024
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton
  Stepsizes
An Adaptive Stochastic Gradient Method with Non-negative Gauss-Newton Stepsizes
Antonio Orvieto
Lin Xiao
106
4
0
05 Jul 2024
Online Non-Stationary Stochastic Quasar-Convex Optimization
Online Non-Stationary Stochastic Quasar-Convex Optimization
Yuen-Man Pun
Iman Shames
66
0
0
04 Jul 2024
Tracking solutions of time-varying variational inequalities
Tracking solutions of time-varying variational inequalities
Hédi Hadiji
Sarah Sachs
Cristóbal Guzmán
109
1
0
20 Jun 2024
On the Convergence of Tâtonnement for Linear Fisher Markets
On the Convergence of Tâtonnement for Linear Fisher Markets
Tianlong Nan
Yuan Gao
Christian Kroer
50
2
0
18 Jun 2024
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with
  Coupled Constraints
A Primal-Dual-Assisted Penalty Approach to Bilevel Optimization with Coupled Constraints
Liuyuan Jiang
Quan-Wu Xiao
Victor M. Tenorio
Fernando Real-Rojas
Antonio G. Marques
Tianyi Chen
214
4
0
14 Jun 2024
Provable Optimization for Adversarial Fair Self-supervised Contrastive
  Learning
Provable Optimization for Adversarial Fair Self-supervised Contrastive Learning
Qi Qi
Quanqi Hu
Qihang Lin
Tianbao Yang
157
1
0
09 Jun 2024
A Generalized Version of Chung's Lemma and its Applications
A Generalized Version of Chung's Lemma and its Applications
Li Jiang
Xiao Li
Andre Milzarek
Junwen Qiu
97
1
0
09 Jun 2024
Perturbation Towards Easy Samples Improves Targeted Adversarial
  Transferability
Perturbation Towards Easy Samples Improves Targeted Adversarial Transferability
Junqi Gao
Biqing Qi
Yao Li
Zhichang Guo
Dong Li
Yuming Xing
Dazhi Zhang
AAML
136
8
0
08 Jun 2024
Towards Interpretable Deep Local Learning with Successive Gradient
  Reconciliation
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang
Xiaojie Li
Motasem Alfarra
Hasan Hammoud
Adel Bibi
Philip Torr
Guohao Li
116
5
0
07 Jun 2024
Understanding Stochastic Natural Gradient Variational Inference
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu
Jacob R. Gardner
BDL
112
4
0
04 Jun 2024
Demystifying SGD with Doubly Stochastic Gradients
Demystifying SGD with Doubly Stochastic Gradients
Kyurae Kim
Joohwan Ko
Yian Ma
Jacob R. Gardner
214
2
0
03 Jun 2024
Lazy Safety Alignment for Large Language Models against Harmful
  Fine-tuning
Lazy Safety Alignment for Large Language Models against Harmful Fine-tuning
Tiansheng Huang
Sihao Hu
Fatih Ilhan
Selim Furkan Tekin
Ling Liu
237
33
0
28 May 2024
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized
  Optimization over Time-Varying Networks
Lower Bounds and Optimal Algorithms for Non-Smooth Convex Decentralized Optimization over Time-Varying Networks
D. Kovalev
Ekaterina Borodich
Alexander Gasnikov
Dmitrii Feoktistov
113
2
0
28 May 2024
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence
  and Capability
On Mesa-Optimization in Autoregressively Trained Transformers: Emergence and Capability
Chenyu Zheng
Wei Huang
Rongzheng Wang
Guoqiang Wu
Jun Zhu
Chongxuan Li
135
3
0
27 May 2024
Almost sure convergence rates of stochastic gradient methods under gradient domination
Almost sure convergence rates of stochastic gradient methods under gradient domination
Simon Weissmann
Sara Klein
Waïss Azizian
Leif Döring
127
4
0
22 May 2024
Federated Learning With Energy Harvesting Devices: An MDP Framework
Federated Learning With Energy Harvesting Devices: An MDP Framework
Kai Zhang
Xu Cao
Khaled B. Letaief
132
3
0
17 May 2024
Minimisation of Polyak-Łojasewicz Functions Using Random Zeroth-Order
  Oracles
Minimisation of Polyak-Łojasewicz Functions Using Random Zeroth-Order Oracles
Amir Ali Farzin
Iman Shames
71
1
0
15 May 2024
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
Fast Two-Time-Scale Stochastic Gradient Method with Applications in Reinforcement Learning
Sihan Zeng
Thinh T. Doan
181
5
0
15 May 2024
Data-Efficient and Robust Task Selection for Meta-Learning
Data-Efficient and Robust Task Selection for Meta-Learning
Donglin Zhan
James Anderson
OOD
119
2
0
11 May 2024
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Robust Semi-supervised Learning by Wisely Leveraging Open-set Data
Yang Yang
Nan Jiang
Yi Tian Xu
De-Chuan Zhan
110
20
0
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$ε$-Policy Gradient for Online Pricing
εεε-Policy Gradient for Online Pricing
Lukasz Szpruch
Tanut Treetanthiploet
Yufei Zhang
OffRL
110
1
0
06 May 2024
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
Alessandro Montenegro
Marco Mussi
Alberto Maria Metelli
Matteo Papini
133
3
0
03 May 2024
The Privacy Power of Correlated Noise in Decentralized Learning
The Privacy Power of Correlated Noise in Decentralized Learning
Youssef Allouah
Anastasia Koloskova
Aymane El Firdoussi
Martin Jaggi
R. Guerraoui
120
11
0
02 May 2024
Accelerated Fully First-Order Methods for Bilevel and Minimax
  Optimization
Accelerated Fully First-Order Methods for Bilevel and Minimax Optimization
Chris Junchi Li
181
0
0
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