A Contour Stochastic Gradient Langevin Dynamics Algorithm for Simulations of Multi-modal Distributions.

Wei Deng, Guang Lin, Faming Liang

Abstract read

In one paragraph

Article in Advances in neural information processing systems, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

A Stochastic Approximation-Langevinized Ensemble Kalman Filter Algorithm for State Space Models with Unknown Parameters.Journal of computational and graphical statistics : a joint publication of American Statistical Association, Institute of Mathematical Statistics, Interface Foundation of North America · 2023
Article
Stochastic gradient Langevin dynamics with adaptive drifts.Journal of statistical computation and simulation · 2022
Article

4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Wei DengDepartment of Mathematics, Purdue University, West Lafayette, IN, USA.

Guang LinDepartments of Mathematics & School of Mechanical Engineering, Purdue University, West Lafayette, IN, USA.

Faming LiangDepartments of Statistics, Purdue University, West Lafayette, IN, USA.

Funding

An Imputation-Consistency Algorithm for Biomedical Complex Data AnalysisR01GM126089 · NIGMS · PURDUE UNIVERSITY · PI LIANG, FAMING · 2018 to 2021

$1.2M

Equivalent Partial Correlation Methods for Integrative Genetic Network Analysis R01GM117597 · NIGMS · UNIVERSITY OF FLORIDA · PI LIANG, FAMING · 2015 to 2017

$1.0M

NIGMS NIH HHS R01 GM117597NIGMS NIH HHS R01 GM126089

6 · The paper itself

Abstract

We propose an adaptively weighted stochastic gradient Langevin dynamics algorithm (SGLD), so-called contour stochastic gradient Langevin dynamics (CSGLD), for Bayesian learning in big data statistics. The proposed algorithm is essentially a

Identifiers

PMID34556969

PMCPMC8457681

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.