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.
- (Q4583459) (← links)
- On Sampling Rates in Simulation-Based Recursions (Q4600839) (← links)
- Stable architectures for deep neural networks (Q4607800) (← links)
- Variance-Based Extragradient Methods with Line Search for Stochastic Variational Inequalities (Q4620417) (← links)
- (Q4633055) (← links)
- Derivative-Free Optimization of Noisy Functions via Quasi-Newton Methods (Q4634094) (← links)
- On the regularizing property of stochastic gradient descent (Q4646419) (← links)
- Warped Riemannian Metrics for Location-Scale Models (Q4967761) (← links)
- (Q4969108) (← links)
- (Q4969178) (← links)
- (Q4969246) (← links)
- A robust multi-batch L-BFGS method for machine learning (Q4972551) (← links)
- Sampled Tikhonov regularization for large linear inverse problems (Q4973539) (← links)
- Making the Last Iterate of SGD Information Theoretically Optimal (Q4987277) (← links)
- Sequential Quadratic Optimization for Nonlinear Equality Constrained Stochastic Optimization (Q4989938) (← links)
- Fokker--Planck Particle Systems for Bayesian Inference: Computational Approaches (Q4995111) (← links)
- Adaptive Deep Learning for High-Dimensional Hamilton--Jacobi--Bellman Equations (Q4997364) (← links)
- Partial differential equation regularization for supervised machine learning (Q4998637) (← links)
- (Q4998897) (← links)
- Incremental proximal gradient scheme with penalization for constrained composite convex optimization problems (Q4999758) (← links)
- Sampled limited memory methods for massive linear inverse problems (Q5000590) (← links)
- Bilevel optimization, deep learning and fractional Laplacian regularization with applications in tomography (Q5000616) (← links)
- Ghost Penalties in Nonconvex Constrained Optimization: Diminishing Stepsizes and Iteration Complexity (Q5000647) (← links)
- A Finite Time Analysis of Temporal Difference Learning with Linear Function Approximation (Q5003727) (← links)
- Finite-Time Analysis and Restarting Scheme for Linear Two-Time-Scale Stochastic Approximation (Q5009779) (← links)
- Convergence of Recursive Stochastic Algorithms Using Wasserstein Divergence (Q5018894) (← links)
- On stochastic Kaczmarz type methods for solving large scale systems of ill-posed equations (Q5019926) (← links)
- High resolution 3D ultrasonic breast imaging by time-domain full waveform inversion (Q5019933) (← links)
- An analysis of stochastic variance reduced gradient for linear inverse problems <sup>*</sup> (Q5019935) (← links)
- Tensor-Structured Sketching for Constrained Least Squares (Q5021024) (← links)
- Optimization with learning-informed differential equation constraints and its applications (Q5024338) (← links)
- Reconstructing the Thermal Phonon Transmission Coefficient at Solid Interfaces in the Phonon Transport Equation (Q5024358) (← links)
- Fast Decentralized Nonconvex Finite-Sum Optimization with Recursive Variance Reduction (Q5026835) (← links)
- Proximal Gradient Methods for Machine Learning and Imaging (Q5028165) (← links)
- Stochastic analysis of an adaptive cubic regularization method under inexact gradient evaluations and dynamic Hessian accuracy (Q5034938) (← links)
- On a multilevel Levenberg–Marquardt method for the training of artificial neural networks and its application to the solution of partial differential equations (Q5038185) (← links)
- A fully stochastic second-order trust region method (Q5043844) (← links)
- (Q5053196) (← links)
- (Q5053207) (← links)
- (Q5053263) (← links)
- (Q5053316) (← links)
- (Q5054622) (← links)
- (Q5054653) (← links)
- Stochastic asymptotical regularization for linear inverse problems (Q5055344) (← links)
- Quasi-Newton methods for machine learning: forget the past, just sample (Q5058389) (← links)
- Solving Stochastic Optimization with Expectation Constraints Efficiently by a Stochastic Augmented Lagrangian-Type Algorithm (Q5060780) (← links)
- QNG: A Quasi-Natural Gradient Method for Large-Scale Statistical Learning (Q5067429) (← links)
- Quantile-Based Iterative Methods for Corrupted Systems of Linear Equations (Q5071437) (← links)
- Streaming constrained binary logistic regression with online standardized data (Q5073418) (← links)
- (Q5074079) (← links)
