proximal method

DCatalyst: A Unified Accelerated Framework for Decentralized Optimization JMLR 2026 A New Random Reshuffling Method for Nonsmooth Nonconvex Finite-sum Optimization JMLR 2025 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 A Variance-Reduced and Stabilized Proximal Stochastic Gradient Method with Support Identification Guarantees for Structured Optimization AISTATS 2023 Toward Efficient Gradient-Based Value Estimation ICML 2023 Riemannian Stochastic Proximal Gradient Methods for Nonsmooth Optimization over the Stiefel Manifold JMLR 2022 A Block Coordinate Descent Proximal Method for Simultaneous Filtering and Parameter Estimation ICML 2019 Are we there yet? Manifold identification of gradient-related proximal methods AISTATS 2019 Fast Stochastic Algorithms for Low-rank and Nonsmooth Matrix Problems AISTATS 2019 Learning (from) Deep Hierarchical Structure among Features AAAI 2019 Convergence guarantees for a class of non-convex and non-smooth optimization problems ICML 2018 Local Convergence Properties of SAGA/Prox-SVRG and Acceleration ICML 2018 Breaking the Nonsmooth Barrier: A Scalable Parallel Method for Composite Optimization NeurIPS 2017 Proximal Deep Structured Models NeurIPS 2016 Proximal Stochastic Methods for Nonsmooth Nonconvex Finite-Sum Optimization NeurIPS 2016 TenSR: Multi-Dimensional Tensor Sparse Representation CVPR 2016 Spectral Norm Regularization of Orthonormal Representations for Graph Transduction NeurIPS 2015 Constrained convex minimization via model-based excessive gap NeurIPS 2014 l0 Norm Based Dictionary Learning by Proximal Methods with Global Convergence CVPR 2014 Link Prediction in Graphs with Autoregressive Features JMLR 2014 Partition-wise Linear Models NeurIPS 2014 High-dimensional Inference via Lipschitz Sparsity-Yielding Regularizers AISTATS 2013 Nonparametric Sparsity and Regularization JMLR 2013 Link Prediction in Graphs with Autoregressive Features NeurIPS 2012 Proximal Newton-type methods for convex optimization NeurIPS 2012