7 papers · 1 filter
Sharp dimensional analysis of midpoint methods for Langevin sampling
Fan Chen, Sinho Chewi, Jianfeng Lu +1
We study deterministic and randomized midpoint discretizations of Langevin dynamics for a target , where and . To achi…
High-accuracy simulation of Picard HMC, part I: Gaussian cloud correction
Fan Chen, Sinho Chewi, Jianfeng Lu +1
We study the problem of sampling from a continuous density on , where has a -Lipschitz gradient and satisfies a loga…
Smoothed Picard Hamiltonian Monte Carlo
Fan Chen, Sinho Chewi, Jianfeng Lu +1
We develop a new low-accuracy sampler, called smoothed Picard Hamiltonian Monte Carlo, which combines Gaussian smoothing, Picard iteration, and higher-order discretization. For a l…
Accelerated High-Accuracy Sampling from a Warm Start via the Proximal Bouncy Particle Sampler
Fan Chen, Sinho Chewi, Jianfeng Lu +1
We study the problem of sampling from on , where is -strongly convex and -smooth, and write . We desi…
Exact simulation of diffusions and improved algorithms for log-concave sampling
Fan Chen, Sinho Chewi, Alexander Rakhlin +1
We study exact simulation of diffusions via rejection sampling on path space using unbiased estimators of the density ratio obtained from Girsanov's theorem. When applied to the un…
Algorithmic warm starts for Hamiltonian Monte Carlo
Matthew S. Zhang, Jason M. Altschuler, Sinho Chewi
Generating samples from a continuous probability density is a central algorithmic problem across statistics, engineering, and the sciences. For high-dimensional settings, Hamiltoni…
Sharp propagation of chaos in Rényi divergence
Matthew S. Zhang
We establish sharp rates for propagation of chaos in Rényi divergences for interacting diffusion systems at stationarity. Building upon the entropic hierarchy established in Lacker…