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anderson acceleration

8 papers

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convergence rate (2) coordinate descent (2) gradient descent (2) convex optimization (2) nonlinear optimization (1) optimal convergence rate (1) fixed-point equation (1) implicit graph neural network (1) fixed-point equilibrium (1) graph neural network (1)

Papers

Adaptive Quasi-Newton and Anderson Acceleration Framework with Explicit Global (Accelerated) Convergence Rates AISTATS 2024 Implicit Graph Neural Networks: A Monotone Operator Viewpoint ICML 2023 Beyond L1: Faster and Better Sparse Models with skglm NeurIPS 2022 Neural Deep Equilibrium Solvers ICLR 2022 Anderson acceleration of coordinate descent AISTATS 2021 A Fast Anderson-Chebyshev Acceleration for Nonlinear Optimization AISTATS 2020 Anderson Acceleration of Proximal Gradient Methods ICML 2020 Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning NeurIPS 2019