conjugate gradient method

ALPS: Improved Optimization for Highly Sparse One-Shot Pruning for Large Language Models NeurIPS 2024 Decentralized Riemannian Conjugate Gradient Method on the Stiefel Manifold ICLR 2024 Decomposed Diffusion Sampler for Accelerating Large-Scale Inverse Problems ICLR 2024 Scaled Conjugate Gradient Method for Nonconvex Optimization in Deep Neural Networks JMLR 2024 Conjugate Gradient Method for Generative Adversarial Networks AISTATS 2023 Efficiently learning the graph for semi-supervised learning UAI 2023 Diversified Adversarial Attacks based on Conjugate Gradient Method ICML 2022 Preconditioning for Scalable Gaussian Process Hyperparameter Optimization ICML 2022 Effective Dimension Adaptive Sketching Methods for Faster Regularized Least-Squares Optimization NeurIPS 2020 EA-CG: An Approximate Second-Order Method for Training Fully-Connected Neural Networks AAAI 2019 Preconditioned Conjugate Gradient Methods in Truncated Newton Frameworks for Large-scale Linear Classification ACML 2018 Riemannian Pursuit for Big Matrix Recovery ICML 2014 Newton-Like Methods for Sparse Inverse Covariance Estimation NeurIPS 2012 Scaled Gradients on Grassmann Manifolds for Matrix Completion NeurIPS 2012 Manifold Regularization for SIR with Rate Root-n Convergence NeurIPS 2009