Pages that link to "Item:Q4641709"
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The following pages link to Optimization Methods for Large-Scale Machine Learning (Q4641709):
Displaying 50 items.
- A Deep Learning Method for Elliptic Hemivariational Inequalities (Q5074898) (← links)
- A Stochastic Levenberg--Marquardt Method Using Random Models with Complexity Results (Q5075237) (← links)
- A globally convergent gradient-like method based on the Armijo line search (Q5080090) (← links)
- Continuous-Time Convergence Rates in Potential and Monotone Games (Q5081641) (← links)
- A stochastic gradient descent approach with partitioned-truncated singular value decomposition for large-scale inverse problems of magnetic modulus data (Q5081796) (← links)
- Imaging conductivity from current density magnitude using neural networks* (Q5081798) (← links)
- Stochastic gradient descent for linear inverse problems in Hilbert spaces (Q5082036) (← links)
- Minibatch Forward-Backward-Forward Methods for Solving Stochastic Variational Inequalities (Q5084485) (← links)
- Multiple-sets split quasi-convex feasibility problems: Adaptive subgradient methods with convergence guarantee (Q5088832) (← links)
- Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space (Q5093647) (← links)
- Scheduled Restart Momentum for Accelerated Stochastic Gradient Descent (Q5094616) (← links)
- slimTrain---A Stochastic Approximation Method for Training Separable Deep Neural Networks (Q5095499) (← links)
- Risk-Sensitive Reinforcement Learning via Policy Gradient Search (Q5102286) (← links)
- A new stochastic gradient descent possibilistic clustering algorithm (Q5106261) (← links)
- On the Convergence of Stochastic Gradient Descent for Nonlinear Ill-Posed Problems (Q5110563) (← links)
- First-Order Methods for Nonconvex Quadratic Minimization (Q5113167) (← links)
- Trust-region algorithms for training responses: machine learning methods using indefinite Hessian approximations (Q5113710) (← links)
- Open Problem—Adaptive Constant-Step Stochastic Approximation (Q5113908) (← links)
- MultiComposite Nonconvex Optimization for Training Deep Neural Networks (Q5114402) (← links)
- A Class of Approximate Inverse Preconditioners Based on Krylov-Subspace Methods for Large-Scale Nonconvex Optimization (Q5116544) (← links)
- Sample Complexity of Sample Average Approximation for Conditional Stochastic Optimization (Q5116551) (← links)
- On the discrepancy principle for stochastic gradient descent (Q5123704) (← links)
- An investigation of Newton-Sketch and subsampled Newton methods (Q5135249) (← links)
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- Fast Approximation of the Gauss--Newton Hessian Matrix for the Multilayer Perceptron (Q5150836) (← links)
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- An Inertial Newton Algorithm for Deep Learning (Q5159400) (← links)
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- A homotopy training algorithm for fully connected neural networks (Q5160822) (← links)
- A Distributed Optimal Control Problem with Averaged Stochastic Gradient Descent (Q5162128) (← links)
- Train Like a (Var)Pro: Efficient Training of Neural Networks with Variable Projection (Q5162626) (← links)
- Stochastic sub-sampled Newton method with variance reduction (Q5204645) (← links)
- Learning the tangent space of dynamical instabilities from data (Q5205672) (← links)
- Sparsity and level set regularization for near-field electromagnetic imaging in 3D (Q5213338) (← links)
- Spurious Valleys in Two-layer Neural Network Optimization Landscapes (Q5214225) (← links)
- Solving inverse problems using data-driven models (Q5230520) (← links)
- Derivative-free optimization methods (Q5230522) (← links)
- Data assimilation: The Schrödinger perspective (Q5230525) (← links)
- Gradient Descent Finds the Cubic-Regularized Nonconvex Newton Step (Q5233102) (← links)
- Deep Learning: An Introduction for Applied Mathematicians (Q5243183) (← links)
- Adaptive Regularization Algorithms with Inexact Evaluations for Nonconvex Optimization (Q5244400) (← links)
- A Stochastic Semismooth Newton Method for Nonsmooth Nonconvex Optimization (Q5244401) (← links)
- Adaptive Sequential Sample Average Approximation for Solving Two-Stage Stochastic Linear Programs (Q5857298) (← links)
