proximal algorithm

An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NeurIPS 2019 Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019 Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations ICML 2019 General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NeurIPS 2019 On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019 Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019 Proximal Distance Algorithms: Theory and Practice JMLR 2019 SpiderBoost and Momentum: Faster Variance Reduction Algorithms NeurIPS 2019 Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NeurIPS 2019 Combinatorial Preconditioners for Proximal Algorithms on Graphs AISTATS 2018 Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018 Non-Ergodic Alternating Proximal Augmented Lagrangian Algorithms with Optimal Rates NeurIPS 2018 Stochastic Proximal Algorithms for AUC Maximization ICML 2018 A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017 Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017 Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity ICML 2016 Fast Saddle-Point Algorithm for Generalized Dantzig Selector and FDR Control with Ordered L1-Norm AISTATS 2016 Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NeurIPS 2016 Kullback-Leibler Proximal Variational Inference NeurIPS 2015 An Accelerated Proximal Coordinate Gradient Method NeurIPS 2014 Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NeurIPS 2014 Quality-based Multimodal Classification using Tree-Structured Sparsity CVPR 2014 A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013 On Decomposing the Proximal Map NeurIPS 2013