conftrace_

proximal algorithm

48 papers

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Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) variance reduction (523) nonconvex optimization (316) sparse optimization (246) image restoration (1517) stochastic gradient descent (1091) proximal operator (50) linear convergence (158) proximal gradient (74)

Papers

On Fast Convergence of Proximal Algorithms for SQRT-Lasso Optimization: Don’t Worry About its Nonsmooth Loss Function UAI 2019
Efficient Nonconvex Regularized Tensor Completion with Structure-aware Proximal Iterations ICML 2019
A First-Order Algorithmic Framework for Distributionally Robust Logistic Regression NIPS 2019
Proximal Distance Algorithms: Theory and Practice JMLR 2019
Asynchronous Proximal Stochastic Gradient Algorithm for Composition Optimization Problems AAAI 2019
Plug-and-Play Methods Provably Converge with Properly Trained Denoisers ICML 2019
An Accelerated Decentralized Stochastic Proximal Algorithm for Finite Sums NIPS 2019
Efficient Learning with a Family of Nonconvex Regularizers by Redistributing Nonconvexity JMLR 2018
Combinatorial Preconditioners for Proximal Algorithms on Graphs AISTATS 2018
Stochastic Proximal Algorithms for AUC Maximization ICML 2018
Efficient First-Order Algorithms for Adaptive Signal Denoising ICML 2018
Clustering by Sum of Norms: Stochastic Incremental Algorithm, Convergence and Cluster Recovery ICML 2017
A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models AISTATS 2017
Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NIPS 2016
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
Kullback-Leibler Proximal Variational Inference NIPS 2015
Proximal Quasi-Newton for Computationally Intensive L1-regularized M-estimators NIPS 2014
Quality-based Multimodal Classification using Tree-Structured Sparsity CVPR 2014
An Accelerated Proximal Coordinate Gradient Method NIPS 2014
A proximal Newton framework for composite minimization: Graph learning without Cholesky decompositions and matrix inversions ICML 2013
On Decomposing the Proximal Map NIPS 2013
Linearized Alternating Direction Method with Adaptive Penalty for Low-Rank Representation NIPS 2011