fixed-point iteration

GDA-AM: ON THE EFFECTIVENESS OF SOLVING MIN-IMAX OPTIMIZATION VIA ANDERSON MIXING ICLR 2022 Optimization-Derived Learning with Essential Convergence Analysis of Training and Hyper-training ICML 2022 (Implicit)^2: Implicit Layers for Implicit Representations NeurIPS 2021 Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving ICML 2021 Approximately Solving Mean Field Games via Entropy-Regularized Deep Reinforcement Learning AISTATS 2021 Gaussian Kernel Mixture Network for Single Image Defocus Deblurring NeurIPS 2021 Joint inference and input optimization in equilibrium networks NeurIPS 2021 Stabilizing Equilibrium Models by Jacobian Regularization ICML 2021 Stochastic Anderson Mixing for Nonconvex Stochastic Optimization NeurIPS 2021 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 From Local SGD to Local Fixed-Point Methods for Federated Learning ICML 2020 On the Analysis of EM for truncated mixtures of two Gaussians ALT 2020 Fast and Flexible Inference of Joint Distributions from their Marginals ICML 2019 Fast and Robust Shortest Paths on Manifolds Learned from Data AISTATS 2019 Fast and Stable Maximum Likelihood Estimation for Incomplete Multinomial Models ICML 2019 A Pseudo-Euclidean Iteration for Optimal Recovery in Noisy ICA NeurIPS 2015 Fixed-Point Model For Structured Labeling ICML 2013