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

16 August 2016

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

50 / 602 papers shown

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Convergence Analysis of the PAGE Stochastic Algorithm for Convex Finite-Sum Optimization Laurent Condat Peter Richtárik 0 0 0 31 Aug 2025
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Learning to optimize with guarantees: a complete characterization of linearly convergent algorithms Andrea Martin I. Manchester Luca Furieri 8 0 0 01 Aug 2025
From Sublinear to Linear: Fast Convergence in Deep Networks via Locally Polyak-Lojasiewicz Regions Agnideep Aich Ashit Aich Bruce Wade 23 0 0 29 Jul 2025
Linearly Convergent Algorithms for Nonsmooth Problems with Unknown Smooth Pieces Zhe Zhang S. Sra 29 0 0 25 Jul 2025
Glocal Smoothness: Line Search can really help! Curtis Fox Aaron Mishkin Sharan Vaswani Mark Schmidt 82 2 0 14 Jun 2025
Convergence of Momentum-Based Optimization Algorithms with Time-Varying Parameters Mathukumalli Vidyasagar 105 0 0 13 Jun 2025
VQC-MLPNet: An Unconventional Hybrid Quantum-Classical Architecture for Scalable and Robust Quantum Machine Learning Jun Qi Chao-Han Huck Yang Pin-Yu Chen Min-hsiu Hsieh 183 1 0 12 Jun 2025
Sharper Convergence Rates for Nonconvex Optimisation via Reduction Mappings Evan Markou Thalaiyasingam Ajanthan Stephen Gould 79 0 0 10 Jun 2025
$Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$-Smooth Nonconvex Optimization$ Stacey: Promoting Stochastic Steepest Descent via Accelerated $\ell_p$ -Smooth Nonconvex Optimization Xinyu Luo Cedar Site Bai Bolian Li Petros Drineas Ruqi Zhang Brian Bullins 69 1 0 07 Jun 2025
Enhancing Convergence, Privacy and Fairness for Wireless Personalized Federated Learning: Quantization-Assisted Min-Max Fair Scheduling Xiyu Zhao Qimei Cui Ziqiang Du Weicai Li Xi Yu Wei Ni Ji Zhang Xiaofeng Tao Ping Zhang 104 0 0 03 Jun 2025
Provable Reinforcement Learning from Human Feedback with an Unknown Link Function Qining Zhang Lei Ying 124 0 0 03 Jun 2025
FSNet: Feasibility-Seeking Neural Network for Constrained Optimization with Guarantees Hoang T. Nguyen Priya L. Donti 62 0 0 31 May 2025
Convergence of Adam in Deep ReLU Networks via Directional Complexity and Kakeya Bounds Anupama Sridhar Alexander Johansen 114 0 0 21 May 2025
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Dynamic Perturbed Adaptive Method for Infinite Task-Conflicting Time Series Jiang You Xiaozhen Wang Arben Cela AI4TS 109 0 0 17 May 2025
A Local Polyak-Lojasiewicz and Descent Lemma of Gradient Descent For Overparametrized Linear Models Ziqing Xu Hancheng Min Salma Tarmoun Enrique Mallada Rene Vidal 144 0 0 16 May 2025
Memory-Efficient Orthogonal Fine-Tuning with Principal Subspace Adaptation Fei Wu Jia Hu Geyong Min Shiqiang Wang 169 0 0 16 May 2025
Minimisation of Quasar-Convex Functions Using Random Zeroth-Order Oracles Amir Ali Farzin Yuen-Man Pun Iman Shames 76 0 0 04 May 2025
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Intersectional Divergence: Measuring Fairness in Regression Joe Germino Nuno Moniz Nitesh Chawla FaML 152 0 0 01 May 2025
Stochastic Subspace Descent Accelerated via Bi-fidelity Line Search Nuojin Cheng Alireza Doostan Stephen Becker 144 0 0 30 Apr 2025
Evolution of Gaussians in the Hellinger-Kantorovich-Boltzmann gradient flow Matthias Liero Alexander Mielke Oliver Tse Jia Jie Zhu 103 1 0 29 Apr 2025
AlphaGrad: Non-Linear Gradient Normalization Optimizer Soham Sane ODL 191 0 0 22 Apr 2025
FedCanon: Non-Convex Composite Federated Learning with Efficient Proximal Operation on Heterogeneous Data Yuan Zhou Jiachen Zhong Xinli Shi G. Wen Xinghuo Yu FedML 114 0 0 16 Apr 2025
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Investigating Large Language Models in Diagnosing Students' Cognitive Skills in Math Problem-solving Hyoungwook Jin Yoonsu Kim Dongyun Jung Seungju Kim Kiyoon Choi J. Son Juho Kim LRM 168 1 0 01 Apr 2025
Remarks on the Polyak-Lojasiewicz inequality and the convergence of gradient systems A. C. B. D. Oliveira Leilei Cui Eduardo Sontag 79 0 0 31 Mar 2025
A stochastic gradient descent algorithm with random search directions Eméric Gbaguidi ODL 150 0 0 25 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 96 0 0 15 Mar 2025
Nash Equilibrium Constrained Auto-bidding With Bi-level Reinforcement Learning Zhiyu Mou Miao Xu Rongquan Bai Zhuoran Yang Chuan Yu Jian Xu Bo Zheng 119 0 0 13 Mar 2025
Sharpness-Aware Minimization: General Analysis and Improved Rates Dimitris Oikonomou Nicolas Loizou 127 3 0 04 Mar 2025
Gradient-free stochastic optimization for additive models A. Akhavan Alexandre B. Tsybakov 180 0 0 03 Mar 2025
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Hellinger-Kantorovich Gradient Flows: Global Exponential Decay of Entropy Functionals Alexander Mielke Jia Jie Zhu 193 2 0 28 Jan 2025
Convergence Analysis of the Wasserstein Proximal Algorithm beyond Geodesic Convexity Shuailong Zhu Xiaohui Chen 145 0 0 25 Jan 2025
A Regularized Online Newton Method for Stochastic Convex Bandits with Linear Vanishing Noise Jingxin Zhan Yuchen Xin Kaicheng Jin Zhihua Zhang 187 0 0 19 Jan 2025
Constrained Sampling with Primal-Dual Langevin Monte Carlo Luiz F. O. Chamon Mohammad Reza Karimi Anna Korba 151 5 0 08 Jan 2025
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Non-geodesically-convex optimization in the Wasserstein space Hoang Phuc Hau Luu Hanlin Yu Bernardo Williams Petrus Mikkola Marcelo Hartmann Kai Puolamaki Arto Klami 170 2 0 08 Jan 2025
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Causal Invariance Learning via Efficient Optimization of a Nonconvex Objective Zhenyu Wang Yifan Hu Peter Buhlmann Zijian Guo 246 3 0 16 Dec 2024
FERERO: A Flexible Framework for Preference-Guided Multi-Objective Learning Lisha Chen A. F. M. Saif Yanning Shen Tianyi Chen 146 3 0 02 Dec 2024
Mirror Descent on Reproducing Kernel Banach Spaces Akash Kumar Mikhail Belkin Parthe Pandit 114 1 0 18 Nov 2024
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