Pages that link to "Item:Q121136"

The following pages link to A stochastic quasi-Newton method for large-scale optimization (Q121136):

Displaying 46 items.

• Quasi-Newton methods for machine learning: forget the past, just sample (Q5058389) (← links)
• A Stochastic Second-Order Generalized Estimating Equations Approach for Estimating Association Parameters (Q5066002) (← links)
• QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning (Q5067429) (← links)
• (Q5074960) (← links)
• A Variable Sample-Size Stochastic Quasi-Newton Method for Smooth and Nonsmooth Stochastic Convex Optimization (Q5076721) (← links)
• A New Likelihood Ratio Method for Training Artificial Neural Networks (Q5084674) (← links)
• slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks (Q5095499) (← links)
• Large Sample Mean-Field Stochastic Optimization (Q5097396) (← links)
• On Stochastic and Deterministic Quasi-Newton Methods for Nonstrongly Convex Optimization: Asymptotic Convergence and Rate Analysis (Q5107212) (← links)
• Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations (Q5113710) (← links)
• Convergence of Inexact Forward--Backward Algorithms Using the Forward--Backward Envelope (Q5131965) (← links)
• An Inertial Newton Algorithm for Deep Learning (Q5159400) (← links)
• (Q5159435) (← links)
• Stochastic proximal quasi-Newton methods for non-convex composite optimization (Q5198046) (← links)
• Stochastic sub-sampled Newton method with variance reduction (Q5204645) (← links)
• Analysis of the BFGS Method with Errors (Q5210518) (← links)
• An Efficient Stochastic Newton Algorithm for Parameter Estimation in Logistic Regressions (Q5212017) (← links)
• An Inexact Variable Metric Proximal Point Algorithm for Generic Quasi-Newton Acceleration (Q5231671) (← links)
• A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (Q5244401) (← links)
• Newton-like Method with Diagonal Correction for Distributed Optimization (Q5275293) (← links)
• Kalman-Based Stochastic Gradient Method with Stop Condition and Insensitivity to Conditioning (Q5506688) (← links)
• Stochastic Quasi-Newton Methods for Nonconvex Stochastic Optimization (Q5737735) (← links)
• IQN: An Incremental Quasi-Newton Method with Local Superlinear Convergence Rate (Q5745078) (← links)
• LSOS: Line-search second-order stochastic optimization methods for nonconvex finite sums (Q5879118) (← links)
• Towards explicit superlinear convergence rate for SR1 (Q6038671) (← links)
• Efficient learning rate adaptation based on hierarchical optimization approach (Q6072584) (← links)
• A stochastic variance reduced gradient using Barzilai-Borwein techniques as second order information (Q6086990) (← links)
• An overview of stochastic quasi-Newton methods for large-scale machine learning (Q6097379) (← links)
• Two-stage 2D-to-3d reconstruction of realistic microstructures: implementation and numerical validation by effective properties (Q6097657) (← links)
• Adaptive step size rules for stochastic optimization in large-scale learning (Q6116586) (← links)
• A modified stochastic quasi-Newton algorithm for summing functions problem in machine learning (Q6138300) (← links)
• On the complexity of a stochastic Levenberg-Marquardt method (Q6149301) (← links)
• The regularized stochastic Nesterov's accelerated quasi-Newton method with applications (Q6169778) (← links)
• On pseudoinverse-free block maximum residual nonlinear Kaczmarz method for solving large-scale nonlinear system of equations (Q6179938) (← links)
• Riemannian Natural Gradient Methods (Q6189169) (← links)
• A branch-and-bound algorithm with growing datasets for large-scale parameter estimation (Q6586253) (← links)
• Incremental quasi-Newton algorithms for solving a nonconvex, nonsmooth, finite-sum optimization problem (Q6586914) (← links)
• Resource-adaptive Newton's method for distributed learning (Q6591485) (← links)
• Subsampled first-order optimization methods with applications in imaging (Q6606441) (← links)
• Stochastic Steffensen method (Q6606849) (← links)
• On the inversion-free Newton's method and its applications (Q6612368) (← links)
• An efficient averaged stochastic Gauss-Newton algorithm for estimating parameters of nonlinear regressions models (Q6632594) (← links)
• Bolstering stochastic gradient descent with model building (Q6635852) (← links)
• A proximal stochastic quasi-Newton algorithm with dynamical sampling and stochastic line search (Q6655883) (← links)
• Adaptive pruning-based Newton's method for distributed learning (Q6658297) (← links)
• Approximating Hessian matrices using Bayesian inference: a new approach for quasi-Newton methods in stochastic optimization (Q6661113) (← links)