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

Laplace Meets Moreau: Smooth Approximation to Infimal Convolutions Using Laplace's Method JMLR 2025
Langevin Monte Carlo Beyond Lipschitz Gradient Continuity AAAI 2025
Fitting ARMA Time Series Models without Identification: A Proximal Approach AISTATS 2024
Structured Transforms Across Spaces with Cost-Regularized Optimal Transport AISTATS 2024
From Compliant to Rigid Contact Simulation: a Unified and Efficient Approach RSS 2024
Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NIPS 2024
Optimal Scaling for the Proximal Langevin Algorithm in High Dimensions JMLR 2024
Convergent Bregman Plug-and-Play Image Restoration for Poisson Inverse Problems NIPS 2023
A one-sample decentralized proximal algorithm for non-convex stochastic composite optimization UAI 2023
Recovery Bounds on Class-Based Optimal Transport: A Sum-of-Norms Regularization Framework ICML 2023
Extensions to the Proximal Distance Method of Constrained Optimization JMLR 2022
Proximal Denoiser for Convergent Plug-and-Play Optimization with Nonconvex Regularization ICML 2022
TFPnP: Tuning-free Plug-and-Play Proximal Algorithms with Applications to Inverse Imaging Problems JMLR 2022
Stochastic Proximal AUC Maximization JMLR 2021
Factorization Machines with Regularization for Sparse Feature Interactions JMLR 2021
Faster proximal algorithms for matrix optimization using Jacobi-based eigenvalue methods NIPS 2021
A Unified Theory of SGD: Variance Reduction, Sampling, Quantization and Coordinate Descent AISTATS 2020
Discerning the Linear Convergence of ADMM for Structured Convex Optimization through the Lens of Variational Analysis JMLR 2020
Tuning-free Plug-and-Play Proximal Algorithm for Inverse Imaging Problems ICML 2020
Support recovery and sup-norm convergence rates for sparse pivotal estimation AISTATS 2020
Optimization of Graph Total Variation via Active-Set-based Combinatorial Reconditioning AISTATS 2020
A Sparse Semismooth Newton Based Proximal Majorization-Minimization Algorithm for Nonconvex Square-Root-Loss Regression Problems JMLR 2020
SpiderBoost and Momentum: Faster Variance Reduction Algorithms NIPS 2019
Think out of the "Box": Generically-Constrained Asynchronous Composite Optimization and Hedging NIPS 2019
General Proximal Incremental Aggregated Gradient Algorithms: Better and Novel Results under General Scheme NIPS 2019