The following pages link to (Q5381127):
Displaying 25 items.
- Optimal Monte Carlo methods for \(L^2\)-approximation (Q1731916) (← links)
- Optimal volume-corrected Laplace-Metropolis method (Q1881425) (← links)
- Is there an analog of Nesterov acceleration for gradient-based MCMC? (Q2040101) (← links)
- Oracle lower bounds for stochastic gradient sampling algorithms (Q2137007) (← links)
- Constrained ensemble Langevin Monte Carlo (Q2148951) (← links)
- Complexity of zigzag sampling algorithm for strongly log-concave distributions (Q2152554) (← links)
- On sampling from a log-concave density using kinetic Langevin diffusions (Q2174987) (← links)
- Performance analysis of LVQ algorithms: a statistical physics approach (Q2506516) (← links)
- Accelerating Proximal Markov Chain Monte Carlo by Using an Explicit Stabilized Method (Q3296473) (← links)
- (Q5053193) (← links)
- (Q5053262) (← links)
- Particle dual averaging: optimization of mean field neural network with global convergence rate analysis* (Q5055425) (← links)
- Maximum Likelihood Estimation of Regularization Parameters in High-Dimensional Inverse Problems: An Empirical Bayesian Approach. Part II: Theoretical Analysis (Q5143323) (← links)
- The forward-backward envelope for sampling with the overdamped Langevin algorithm (Q6173566) (← links)
- Bayesian Stochastic Gradient Descent for Stochastic Optimization with Streaming Input Data (Q6188508) (← links)
- Contraction and convergence rates for discretized kinetic Langevin dynamics (Q6552475) (← links)
- NF-ULA: normalizing flow-based unadjusted Langevin algorithm for imaging inverse problems (Q6556790) (← links)
- Rapid convergence of the unadjusted Langevin algorithm: isoperimetry suffices (Q6608556) (← links)
- Asymptotic bias of inexact Markov chain Monte Carlo methods in high dimension (Q6616867) (← links)
- Proximal Langevin sampling with inexact proximal mapping (Q6623962) (← links)
- Subgradient Langevin methods for sampling from nonsmooth potentials (Q6633041) (← links)
- Riemannian Langevin algorithm for solving semidefinite programs (Q6635727) (← links)
- Neural-network-based regularization methods for inverse problems in imaging (Q6664955) (← links)
- Contraction rate estimates of stochastic gradient kinetic Langevin integrators (Q6667313) (← links)
- Appropriate state-dependent friction coefficient accelerates kinetic Langevin dynamics (Q6669434) (← links)
