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https://openreview.net/forum?id=SUxarNgrUT Adaptive Proximal Gradient Methods Are Universal Without Approximation | OpenReview We show that adaptive proximal gradient methods for convex problems are not restricted to traditional Lipschitzian assumptions. Our analysis reveals that a... proximal gradient methods adaptive universal without approximation https://jmlr.org/papers/v26/24-1989.html A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian... proximal gradient decentralized tracking https://openreview.net/forum?id=0OGMrvHnQbb Efficiently Factorizing Boolean Matrices using Proximal Gradient Descent | OpenReview We propose a novel elastic-net based regularizer that permits efficient Boolean matrix factorization using proximal gradient descent. proximal gradient efficiently factorizing boolean matrices https://arxiv.org/abs/2308.02261 [2308.02261] Adaptive Proximal Gradient Method for Convex Optimization Abstract page for arXiv paper 2308.02261: Adaptive Proximal Gradient Method for Convex Optimization proximal gradient method 2308 02261 adaptive convex https://deepai.org/publication/a-decentralized-proximal-gradient-method-with-network-independent-step-sizes-and-separated-convergence-rates A decentralized proximal-gradient method with network independent step-sizes and separated... Apr 25, 2017 - 04/25/17 - This paper considers the problem of decentralized optimization with a composite objective containing smooth and non-smooth terms. ... proximal gradient method https://jmlr.org/papers/v25/23-0889.html Wasserstein Proximal Coordinate Gradient Algorithms wasserstein proximal coordinate gradient algorithms https://openreview.net/forum?id=TFKIfhvdmZ&referrer=%5Bthe%20profile%20of%20Sumeet%20Batra%5D(%2Fprofile%3Fid%3D~Sumeet_Batra1) Proximal Policy Gradient Arborescence for Quality Diversity Reinforcement Learning | OpenReview Training generally capable agents that thoroughly explore their environment and learn new and diverse skills is a long-term goal of robot learning. Quality... policy gradient reinforcement learning proximal arborescence quality https://www.scirp.org/journal/paperinformation?paperid=132885 Almost Sure Convergence of Proximal Stochastic Accelerated Gradient Methods Proximal gradient descent and its accelerated version are resultful methods for solving the sum of smooth and non-smooth problems. When the smooth function can... almost sure convergence proximal stochastic accelerated gradient https://deepai.org/publication/a-better-way-to-decay-proximal-gradient-training-algorithms-for-neural-nets A Better Way to Decay: Proximal Gradient Training Algorithms for Neural Nets | DeepAI Oct 6, 2022 - 10/06/22 - Weight decay is one of the most widely used forms of regularization in deep learning, and has been shown to improve generalization... a better way