fixed-point iteration

Approximation Rates for Schrödinger Bridge Potentials via Fixed-Point ERM UAI 2026 Efficient Parallel Training Methods for Spiking Neural Networks with Constant Time Complexity ICML 2025 FiRe: Fixed-points of Restoration Priors for Solving Inverse Problems CVPR 2025 OMS: One More Step Noise Searching to Enhance Membership Inference Attacks for Diffusion Models IJCAI 2025 Accelerating Parallel Sampling of Diffusion Models ICML 2024 A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport AISTATS 2024 CLLMs: Consistency Large Language Models ICML 2024 Exploring Fixed Point in Image Editing: Theoretical Support and Convergence Optimization NeurIPS 2024 Learning to Warm-Start Fixed-Point Optimization Algorithms JMLR 2024 Quantum Deep Equilibrium Models NeurIPS 2024 Towards Scalable and Stable Parallelization of Nonlinear RNNs NeurIPS 2024 Accelerated Infeasibility Detection of Constrained Optimization and Fixed-Point Iterations ICML 2023 Banana: Banach Fixed-Point Network for Pointcloud Segmentation with Inter-Part Equivariance NeurIPS 2023 Bilevel Optimization with a Lower-level Contraction: Optimal Sample Complexity without Warm-Start JMLR 2023 Continuous-time Analysis of Anchor Acceleration NeurIPS 2023 Deep Equilibrium Models for Snapshot Compressive Imaging AAAI 2023 Delay-agnostic Asynchronous Coordinate Update Algorithm ICML 2023 From Noisy Fixed-Point Iterations to Private ADMM for Centralized and Federated Learning ICML 2023 Geometric Random Walk Graph Neural Networks via Implicit Layers AISTATS 2023 Improving Adversarial Robustness of Deep Equilibrium Models with Explicit Regulations Along the Neural Dynamics ICML 2023 A Class of Short-term Recurrence Anderson Mixing Methods and Their Applications ICLR 2022 A Variant of Anderson Mixing with Minimal Memory Size NeurIPS 2022 Clustering with Semidefinite Programming and Fixed Point Iteration JMLR 2022 Convergent Graph Solvers ICLR 2022 Exact Optimal Accelerated Complexity for Fixed-Point Iterations ICML 2022