proximal gradient

Expanding Boundaries of Gap Safe Screening JMLR 2021 Neural Architecture Search as Sparse Supernet AAAI 2021 A Unified q-Memorization Framework for Asynchronous Stochastic Optimization JMLR 2020 Decentralized Accelerated Proximal Gradient Descent NeurIPS 2020 Directional Pruning of Deep Neural Networks NeurIPS 2020 Dual Extrapolation for Sparse GLMs JMLR 2020 Fast OSCAR and OWL Regression via Safe Screening Rules ICML 2020 First-Order Methods for Large-Scale Market Equilibrium Computation NeurIPS 2020 Hybrid Stochastic-Deterministic Minibatch Proximal Gradient: Less-Than-Single-Pass Optimization with Nearly Optimal Generalization ICML 2020 Proximal Gradient Algorithm with Momentum and Flexible Parameter Restart for Nonconvex Optimization IJCAI 2020 ProxSARAH: An Efficient Algorithmic Framework for Stochastic Composite Nonconvex Optimization JMLR 2020 The Wasserstein Proximal Gradient Algorithm NeurIPS 2020 Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net CVPR 2019 Non-asymptotic Analysis of Stochastic Methods for Non-Smooth Non-Convex Regularized Problems NeurIPS 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 ProxQuant: Quantized Neural Networks via Proximal Operators ICLR 2019 A Delay-tolerant Proximal-Gradient Algorithm for Distributed Learning ICML 2018 A Simple Proximal Stochastic Gradient Method for Nonsmooth Nonconvex Optimization NeurIPS 2018 ASVRG: Accelerated Proximal SVRG ACML 2018 Asynchronous Doubly Stochastic Group Regularized Learning AISTATS 2018 Distributed Proximal Gradient Algorithm for Partially Asynchronous Computer Clusters JMLR 2018 Sampling as optimization in the space of measures: The Langevin dynamics as a composite optimization problem COLT 2018 Scalable Robust Matrix Factorization with Nonconvex Loss NeurIPS 2018 Adaptive Accelerated Gradient Converging Method under H\"{o}lderian Error Bound Condition NeurIPS 2017 Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017