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newton's method

15 papers

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Co-occurring keywords

newton method (64) convex optimization (1321) sparse inverse covariance (23) quadratic approximation (7) gaussian markov random field (26) accelerated gradient (62) second-order optimization (93) second-order method (38) cubic regularization (18) gradient descent (1144)

Papers

Statistical Inference of Constrained Stochastic Optimization via Sketched Sequential Quadratic Programming JMLR 2025
Instability, Computational Efficiency and Statistical Accuracy JMLR 2025
On Adaptive Stochastic Optimization for Streaming Data: A Newton's Method with O(dN) Operations JMLR 2025
Transformers Learn to Achieve Second-Order Convergence Rates for In-Context Linear Regression NIPS 2024
One-step differentiation of iterative algorithms NIPS 2023
Faster Differentially Private Convex Optimization via Second-Order Methods NIPS 2023
Accelerating Adaptive Cubic Regularization of Newton's Method via Random Sampling JMLR 2022
Optimal and Adaptive Monteiro-Svaiter Acceleration NIPS 2022
EiGLasso for Scalable Sparse Kronecker-Sum Inverse Covariance Estimation JMLR 2022
Communication-Efficient Distributed Optimization with Quantized Preconditioners ICML 2021
Distributed estimation of the inverse Hessian by determinantal averaging NIPS 2019
Convergence of Cubic Regularization for Nonconvex Optimization under KL Property NIPS 2018
The Physical Systems Behind Optimization Algorithms NIPS 2018
QUIC: Quadratic Approximation for Sparse Inverse Covariance Estimation JMLR 2014
Sparse Inverse Covariance Matrix Estimation Using Quadratic Approximation NIPS 2011