conftrace_

proximal mapping

16 papers

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Co-occurring keywords

convex optimization (1321) nonconvex optimization (316) stochastic optimization (1060) neural network (6616) momentum method (75) proximal algorithm (48) proximal operator (50) proximal maps (3) gradient descent (1144) composite optimization (40)

Papers

S-D-RSM: Stochastic Distributed Regularized Splitting Method for Large-Scale Convex Optimization Problems AAAI 2026
Weight-Sharing Regularization AISTATS 2024
Lifted Bregman Training of Neural Networks JMLR 2023
On Acceleration for Convex Composite Minimization with Noise-Corrupted Gradients and Approximate Proximal Mapping JMLR 2022
HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging CVPR 2022
One-sided Frank-Wolfe algorithms for saddle problems ICML 2021
Demystifying and Generalizing BinaryConnect NIPS 2021
Minibatch and Momentum Model-based Methods for Stochastic Weakly Convex Optimization NIPS 2021
Proximal Mapping for Deep Regularization NIPS 2020
Halpern Iteration for Near-Optimal and Parameter-Free Monotone Inclusion and Strong Solutions to Variational Inequalities COLT 2020
An Optimal High-Order Tensor Method for Convex Optimization COLT 2019
Stochastic Optimization for DC Functions and Non-smooth Non-convex Regularizers with Non-asymptotic Convergence ICML 2019
SpiderBoost and Momentum: Faster Variance Reduction Algorithms NIPS 2019
Optimization of Inf-Convolution Regularized Nonconvex Composite Problems AISTATS 2019
Linearized Alternating Direction Method of Multipliers for Constrained Nonconvex Regularized Optimization ACML 2016
On Decomposing the Proximal Map NIPS 2013