AI Paper Atlas

Research map / Optimization / Nonconvex and smooth optimization

Bregman Proximal Langevin Monte Carlo via Bregman-Moreau Envelopes

ICML 2022 · Optimization › Nonconvex and smooth optimization · approach: Langevin sampling for nonconvex problems · 0 citations (OpenAlex)

Read the paperCheck your idea against 108,967 papers

AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.

Measured effects reported in the paper

What was changedWhereMeasuredEffect
Use a hypentropy mirror map and Bregman–Moreau smoothing instead of Euclidean MYULASampling anisotropic Laplace distributions · Anisotropic Laplace marginals, including lower dimensionsmixing speedHelped
Use BMUMLA or BMMMLA instead of MYULAAnisotropic Laplace sampling · Wide marginals, including the 10th dimensionmixing speedHelped

Closest papers by meaning

Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.

Open scime draft

Get the next scime Dispatch and a monthly field update

Free. We send a confirmation link first; every email has a one-click unsubscribe. Privacy