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newton method

64 papers

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Co-occurring keywords

second-order optimization (93) convex optimization (1321) distributed optimization (275) stochastic optimization (1060) communication efficiency (297) cubic regularization (18) logistic regression (386) empirical risk minimization (352) second-order method (38) convergence rate (607)

Papers

SPAN: A Stochastic Projected Approximate Newton Method AAAI 2020
Distributed Newton Can Communicate Less and Resist Byzantine Workers NIPS 2020
Approximate Cross-validation: Guarantees for Model Assessment and Selection AISTATS 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 NIPS 2020
Convex optimization based on global lower second-order models NIPS 2020
Cubic Regularization with Momentum for Nonconvex Optimization UAI 2019
Stochastic Variance-Reduced Cubic Regularization Methods JMLR 2019
DINGO: Distributed Newton-Type Method for Gradient-Norm Optimization NIPS 2019
RSN: Randomized Subspace Newton NIPS 2019
Globally Convergent Newton Methods for Ill-conditioned Generalized Self-concordant Losses NIPS 2019
Interior-Point Methods Strike Back: Solving the Wasserstein Barycenter Problem NIPS 2019
Iterative Normalization: Beyond Standardization Towards Efficient Whitening CVPR 2019
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NIPS 2018
The Physical Systems Behind Optimization Algorithms NIPS 2018
Stochastic Variance-Reduced Cubic Regularized Newton Methods ICML 2018
Randomized Block Cubic Newton Method ICML 2018
HONES: A Fast and Tuning-free Homotopy Method For Online Newton Step AISTATS 2018
GIANT: Globally Improved Approximate Newton Method for Distributed Optimization NIPS 2018
Towards a Mathematical Understanding of the Difficulty in Learning With Feedforward Neural Networks CVPR 2018
A Stein variational Newton method NIPS 2018
Tensor Balancing on Statistical Manifold ICML 2017
Approximate Newton Methods and Their Local Convergence ICML 2017
Newton-Type Methods for Inference in Higher-Order Markov Random Fields CVPR 2017
A Study on Trust Region Update Rules in Newton Methods for Large-scale Linear Classification ACML 2017