Pages that link to "Item:Q2682367"
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The following pages link to Nonasymptotic estimates for stochastic gradient Langevin dynamics under local conditions in nonconvex optimization (Q2682367):
Displaying 13 items.
- On the stability of the stochastic gradient Langevin algorithm with dependent data stream (Q2070610) (← links)
- Stochastic gradient Hamiltonian Monte Carlo for non-convex learning (Q2137760) (← links)
- Global Convergence of Stochastic Gradient Hamiltonian Monte Carlo for Nonconvex Stochastic Optimization: Nonasymptotic Performance Bounds and Momentum-Based Acceleration (Q5058053) (← links)
- A Diffusion Approximation Theory of Momentum Stochastic Gradient Descent in Nonconvex Optimization (Q5084492) (← links)
- Statistical Finite Elements via Langevin Dynamics (Q5880613) (← links)
- Global Optimization via Schrödinger–Föllmer Diffusion (Q6057791) (← links)
- Distributed event-triggered unadjusted Langevin algorithm for Bayesian learning (Q6136164) (← links)
- On the Absence of Spurious Local Trajectories in Time-Varying Nonconvex Optimization (Q6137487) (← links)
- Taming Neural Networks with TUSLA: Nonconvex Learning via Adaptive Stochastic Gradient Langevin Algorithms (Q6162009) (← links)
- Multi-index antithetic stochastic gradient algorithm (Q6171790) (← links)
- Nonasymptotic estimates for Stochastic Gradient Langevin Dynamics under local conditions in nonconvex optimization (Q6326572) (← links)
- Kinetic Langevin MCMC sampling without gradient Lipschitz continuity -- the strongly convex case (Q6614419) (← links)
- Geometric ergodicity of SGLD via reflection coupling (Q6649861) (← links)