Pages that link to "Item:Q2403434"

The following pages link to Asymptotic and finite-sample properties of estimators based on stochastic gradients (Q2403434):

Displaying 26 items.

• Asymptotic bias of stochastic gradient search (Q1704136) (← links)
• Online inference with multi-modal likelihood functions (Q2073695) (← links)
• Sub-linear convergence of a stochastic proximal iteration method in Hilbert space (Q2162529) (← links)
• Statistical inference for model parameters in stochastic gradient descent (Q2176618) (← links)
• Non-asymptotic guarantees for sampling by stochastic gradient descent (Q2290072) (← links)
• Variance comparison between infinitesimal perturbation analysis and likelihood ratio estimators to stochastic gradient (Q2670503) (← links)
• Gradient procedures for stochastic approximation with dependent noise and their asymptotic behaviour (Q3690039) (← links)
• (Q4614125) (← links)
• Stochastic Model-Based Minimization of Weakly Convex Functions (Q4620418) (← links)
• Scaling Limit of the Stein Variational Gradient Descent: The Mean Field Regime (Q4627155) (← links)
• (Q5054653) (← links)
• Graphical Convergence of Subgradients in Nonconvex Optimization and Learning (Q5076697) (← links)
• Sublinear Convergence of a Tamed Stochastic Gradient Descent Method in Hilbert Space (Q5093647) (← links)
• (Q5148992) (← links)
• Stochastic (Approximate) Proximal Point Methods: Convergence, Optimality, and Adaptivity (Q5233106) (← links)
• Online Covariance Matrix Estimation in Stochastic Gradient Descent (Q6107216) (← links)
• Online inference in high-dimensional generalized linear models with streaming data (Q6144431) (← links)
• Central limit theorems for stochastic gradient descent with averaging for stable manifolds (Q6164916) (← links)
• Bellman filtering and smoothing for state-space models (Q6193073) (← links)
• Turning the information-sharing dial: efficient inference from different data sources (Q6595787) (← links)
• Renewable risk assessment of heterogeneous streaming time-to-event cohorts (Q6618389) (← links)
• A selective review on statistical methods for massive data computation: distributed computing, subsampling, and minibatch techniques (Q6620576) (← links)
• Online two-way estimation and inference via linear mixed-effects models (Q6629358) (← links)
• Variance reduction techniques for stochastic proximal point algorithms (Q6644264) (← links)
• Online Statistical Inference for Stochastic Optimization via Kiefer-Wolfowitz Methods (Q6651403) (← links)
• The stochastic proximal distance algorithm (Q6657820) (← links)