cubic regularization

A Fully Parameter-Free Second-Order Algorithm for Convex-Concave Minimax Problems JMLR 2026 Policy Newton Methods for Distortion Riskmetrics AAAI 2026 Cubic regularized subspace Newton for non-convex optimization AISTATS 2025 Improving Stochastic Cubic Newton with Momentum AISTATS 2025 OPTAMI: Global Superlinear Convergence of High-order Methods ICLR 2025 A Cubic-regularized Policy Newton Algorithm for Reinforcement Learning AISTATS 2024 Efficient Hyper-parameter Optimization with Cubic Regularization NeurIPS 2023 Second-Order Optimization with Lazy Hessians ICML 2023 Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022 Approximate Secular Equations for the Cubic Regularization Subproblem NeurIPS 2022 Stochastic Second-Order Methods Improve Best-Known Sample Complexity of SGD for Gradient-Dominated Functions NeurIPS 2022 Distributed Second Order Methods with Fast Rates and Compressed Communication ICML 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Stochastic Recursive Variance-Reduced Cubic Regularization Methods AISTATS 2020 Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019 Stochastic Variance-Reduced Cubic Regularization for Nonconvex Optimization AISTATS 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems NeurIPS 2018 Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NeurIPS 2018 Randomized Block Cubic Newton Method ICML 2018 Stochastic Cubic Regularization for Fast Nonconvex Optimization NeurIPS 2018 Stochastic Variance-Reduced Cubic Regularized Newton Methods ICML 2018 Sub-sampled Cubic Regularization for Non-convex Optimization ICML 2017