proximal gradient

A Scalable and Exact Relaxation for Densest k-Subgraph via Error Bounds AAAI 2026 Positive Definite Sparse Covariance Estimation via Dual Space Optimization AAAI 2026 A Decentralized Proximal Gradient Tracking Algorithm for Composite Optimization on Riemannian Manifolds JMLR 2025 High-Dimensional Tensor Regression With Oracle Properties ICML 2025 Scalable First-order Method for Certifying Optimal k-Sparse GLMs ICML 2025 Adaptive Proximal Gradient Method for Convex Optimization NeurIPS 2024 Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NeurIPS 2024 Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024 On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024 Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NeurIPS 2024 Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023 Coordinate Descent for SLOPE AISTATS 2023 Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction IJCAI 2023 Distributed Sparse Regression via Penalization JMLR 2023 Provable convergence guarantees for black-box variational inference NeurIPS 2023 Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023 Acceleration in Distributed Sparse Regression NeurIPS 2022 A Unified Convergence Theorem for Stochastic Optimization Methods NeurIPS 2022 Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022 Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022 Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022 Proximal PanNet: A Model-Based Deep Network for Pansharpening AAAI 2022 Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022 Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022 Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NeurIPS 2022