newton method

Efficient Bandit Convex Optimization: Beyond Linear Losses COLT 2021 Fast Projection onto the Capped Simplex with Applications to Sparse Regression in Bioinformatics NeurIPS 2021 Global and Quadratic Convergence of Newton Hard-Thresholding Pursuit JMLR 2021 Global Convergence of Online Optimization for Nonlinear Model Predictive Control NeurIPS 2021 Newton Method over Networks is Fast up to the Statistical Precision ICML 2021 Acceleration with a Ball Optimization Oracle NeurIPS 2020 Approximate Cross-validation: Guarantees for Model Assessment and Selection AISTATS 2020 Convex optimization based on global lower second-order models NeurIPS 2020 Distributed Newton Can Communicate Less and Resist Byzantine Workers NeurIPS 2020 On Convergence of Distributed Approximate Newton Methods: Globalization, Sharper Bounds and Beyond JMLR 2020 Proximity Operator of the Matrix Perspective Function and its Applications NeurIPS 2020 SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020 Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019 DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NeurIPS 2019 Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NeurIPS 2019 Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem NeurIPS 2019 Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019 RSN: Randomized Subspace Newton NeurIPS 2019 Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019 A Stein variational Newton method NeurIPS 2018 Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NeurIPS 2018 GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NeurIPS 2018 HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018 Randomized Block Cubic Newton Method ICML 2018 Stochastic Variance-Reduced Cubic Regularized Newton Methods ICML 2018