conftrace_

fixed-point iteration

21 papers

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Co-occurring keywords

image restoration (1517) anderson mixing (3) first-order optimization (47) memory efficiency (261) quasi-newton method (60) convergence rate (607) optimization algorithm (148) parallel computing (146) optimal transport (948) federated learning (1333)

Papers

FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems CVPR 2025
A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024
Towards Scalable and Stable Parallelization of Nonlinear RNNs NIPS 2024
Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024
Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023
Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023
Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NIPS 2023
Continuous-time Analysis of Anchor Acceleration NIPS 2023
From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023
Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023
Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022
A Variant of Anderson Mixing with Minimal Memory Size NIPS 2022
Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022
Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NIPS 2021
$(\textrm{Implicit})^2$: Implicit Layers for Implicit Representations NIPS 2021
Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021
Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NIPS 2021
From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020
Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019
Fixed-Point Model For Structured Labeling ICML 2013