The following pages link to (Q5214293):
Displaying 32 items.
- Sampling from a log-concave distribution with projected Langevin Monte Carlo (Q1650786) (← links)
- Is there an analog of Nesterov acceleration for gradient-based MCMC? (Q2040101) (← links)
- Randomized Hamiltonian Monte Carlo as scaling limit of the bouncy particle sampler and dimension-free convergence rates (Q2075323) (← links)
- Oracle lower bounds for stochastic gradient sampling algorithms (Q2137007) (← links)
- Improved bounds for discretization of Langevin diffusions: near-optimal rates without convexity (Q2137032) (← links)
- Stochastic zeroth-order discretizations of Langevin diffusions for Bayesian inference (Q2137043) (← links)
- Constrained ensemble Langevin Monte Carlo (Q2148951) (← links)
- Ergodicity of the infinite swapping algorithm at low temperature (Q2157335) (← links)
- On sampling from a log-concave density using kinetic Langevin diffusions (Q2174987) (← links)
- High-dimensional MCMC with a standard splitting scheme for the underdamped Langevin diffusion (Q2233568) (← links)
- On the limitations of single-step drift and minorization in Markov chain convergence analysis (Q2240862) (← links)
- (Q4969156) (← links)
- (Q4998932) (← links)
- (Q5053193) (← links)
- On Irreversible Metropolis Sampling Related to Langevin Dynamics (Q5095483) (← links)
- Approximate Spectral Gaps for Markov Chain Mixing Times in High Dimensions (Q5154639) (← links)
- Laplacian Smoothing Stochastic Gradient Markov Chain Monte Carlo (Q5856684) (← links)
- Ensemble Kalman Sampler: Mean-field Limit and Convergence Analysis (Q5858114) (← links)
- Data-free likelihood-informed dimension reduction of Bayesian inverse problems (Q5859742) (← links)
- (Q5875524) (← links)
- Convergence of Position-Dependent MALA with Application to Conditional Simulation in GLMMs (Q6094078) (← links)
- Multielement polynomial chaos kriging-based metamodelling for Bayesian inference of non-smooth systems (Q6100033) (← links)
- Complexity results for MCMC derived from quantitative bounds (Q6104001) (← links)
- Finite sample complexity of sequential Monte Carlo estimators on multimodal target distributions (Q6126801) (← links)
- Finite-sample complexity of sequential Monte Carlo estimators (Q6177328) (← links)
- Scalable Bayesian computation for crossed and nested hierarchical models (Q6184925) (← links)
- An entropic approach for Hamiltonian Monte Carlo: the idealized case (Q6590457) (← links)
- Truncated log-concave sampling for convex bodies with reflective Hamiltonian Monte Carlo (Q6601372) (← links)
- Learning variational autoencoders via MCMC speed measures (Q6606966) (← links)
- Dimension-free mixing times of Gibbs samplers for Bayesian hierarchical models (Q6608672) (← links)
- Explicit convergence bounds for Metropolis Markov chains: isoperimetry, spectral gaps and profiles (Q6616881) (← links)
- Convergence rates of Metropolis-Hastings algorithms (Q6642757) (← links)
