proximal gradient descent

Graph Neural Networks Inspired by Classical Iterative Algorithms ICML 2021 LassoNet: A Neural Network with Feature Sparsity JMLR 2021 LassoNet: Neural Networks with Feature Sparsity AISTATS 2021 A Model-Driven Deep Neural Network for Single Image Rain Removal CVPR 2020 Decentralized Accelerated Proximal Gradient Descent NeurIPS 2020 Dual Extrapolation for Sparse GLMs JMLR 2020 Learning Hierarchical Interactions at Scale: A Convex Optimization Approach AISTATS 2020 Learning to solve TV regularised problems with unrolled algorithms NeurIPS 2020 Fast Proximal Gradient Descent for A Class of Non-convex and Non-smooth Sparse Learning Problems UAI 2019 Iterative Residual CNNs for Burst Photography Applications CVPR 2019 Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net CVPR 2019 Screening rules for Lasso with non-convex Sparse Regularizers ICML 2019 Neural Proximal Gradient Descent for Compressive Imaging NeurIPS 2018 The Physical Systems Behind Optimization Algorithms NeurIPS 2018 Wavelet regression and additive models for irregularly spaced data NeurIPS 2018 Convergence Analysis of Proximal Gradient with Momentum for Nonconvex Optimization ICML 2017 Incomplete Label Distribution Learning IJCAI 2017 A Multi-step Inertial Forward-Backward Splitting Method for Non-convex Optimization NeurIPS 2016 Constant Nullspace Strong Convexity and Fast Convergence of Proximal Methods under High-Dimensional Settings NeurIPS 2014 Stochastic Proximal Gradient Descent with Acceleration Techniques NeurIPS 2014 Dual Averaging and Proximal Gradient Descent for Online Alternating Direction Multiplier Method ICML 2013 Robust Transfer Principal Component Analysis with Rank Constraints NeurIPS 2013 Sparse Additive Machine AISTATS 2012