conftrace_

proximal gradient

74 papers

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PG

Co-occurring keywords

convex optimization (1321) stochastic optimization (1060) nonconvex optimization (316) variance reduction (523) linear convergence (158) proximal gradient descent (36) nonsmooth optimization (49) proximal gradient method (18) convergence rate (607) coordinate descent (147)

Papers

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
Penalty-based Methods for Simple Bilevel Optimization under Hölderian Error Bounds NIPS 2024
Fair GLASSO: Estimating Fair Graphical Models with Unbiased Statistical Behavior NIPS 2024
Adaptive Proximal Gradient Method for Convex Optimization NIPS 2024
On the convergence of adaptive first order methods: Proximal gradient and alternating minimization algorithms L4DC 2024
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy AAAI 2024
Deep Unfolding Convolutional Dictionary Model for Multi-Contrast MRI Super-resolution and Reconstruction IJCAI 2023
Distributed Sparse Regression via Penalization JMLR 2023
Sparse Low-rank Adaptation of Pre-trained Language Models EMNLP 2023
Provable convergence guarantees for black-box variational inference NIPS 2023
Coordinate Descent for SLOPE AISTATS 2023
Asynchronous Iterations in Optimization: New Sequence Results and Sharper Algorithmic Guarantees JMLR 2023
Towards An Efficient Approach for the Nonconvex lp Ball Projection: Algorithm and Analysis JMLR 2022
Fast Convex Optimization for Two-Layer ReLU Networks: Equivalent Model Classes and Cone Decompositions ICML 2022
Variance Reduced ProxSkip: Algorithm, Theory and Application to Federated Learning NIPS 2022
Efficient Optimal Transport Algorithm by Accelerated Gradient Descent AAAI 2022
Proximal PanNet: A Model-Based Deep Network for Pansharpening AAAI 2022
Convergent Working Set Algorithm for Lasso with Non-Convex Sparse Regularizers AISTATS 2022
Acceleration in Distributed Sparse Regression NIPS 2022
Simple and Optimal Stochastic Gradient Methods for Nonsmooth Nonconvex Optimization JMLR 2022
A Unified Convergence Theorem for Stochastic Optimization Methods NIPS 2022
Expanding Boundaries of Gap Safe Screening JMLR 2021
Neural Architecture Search as Sparse Supernet AAAI 2021