Sampling with trusthworthy constraints: A variational gradient framework

NeurIPS 2021 Thirty-fifth Conference on Neural Information Processing Systems

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Main Authors: Liu, Xingchao, TONG XIN, Liu, Qiang
Other Authors: MATHEMATICS
Format: Conference or Workshop Item
Published: Neural Information Processing Systems 2021
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Online Access:https://scholarbank.nus.edu.sg/handle/10635/211397
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Institution: National University of Singapore
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spelling sg-nus-scholar.10635-2113972024-11-11T03:52:36Z Sampling with trusthworthy constraints: A variational gradient framework Liu, Xingchao TONG XIN Liu, Qiang MATHEMATICS Dr Xin Tong Trustworthy Machine Learning Sampling Bayesian Inference NeurIPS 2021 Thirty-fifth Conference on Neural Information Processing Systems 2021-12-22T01:40:16Z 2021-12-22T01:40:16Z 2021-12-06 2021-12-21T09:09:52Z Conference Paper Liu, Xingchao, TONG XIN, Liu, Qiang (2021-12-06). Sampling with trusthworthy constraints: A variational gradient framework. NeurIPS 2021 Thirty-fifth Conference on Neural Information Processing Systems. ScholarBank@NUS Repository. https://scholarbank.nus.edu.sg/handle/10635/211397 Neural Information Processing Systems Elements
institution National University of Singapore
building NUS Library
continent Asia
country Singapore
Singapore
content_provider NUS Library
collection ScholarBank@NUS
topic Trustworthy Machine Learning
Sampling
Bayesian Inference
spellingShingle Trustworthy Machine Learning
Sampling
Bayesian Inference
Liu, Xingchao
TONG XIN
Liu, Qiang
Sampling with trusthworthy constraints: A variational gradient framework
description NeurIPS 2021 Thirty-fifth Conference on Neural Information Processing Systems
author2 MATHEMATICS
author_facet MATHEMATICS
Liu, Xingchao
TONG XIN
Liu, Qiang
format Conference or Workshop Item
author Liu, Xingchao
TONG XIN
Liu, Qiang
author_sort Liu, Xingchao
title Sampling with trusthworthy constraints: A variational gradient framework
title_short Sampling with trusthworthy constraints: A variational gradient framework
title_full Sampling with trusthworthy constraints: A variational gradient framework
title_fullStr Sampling with trusthworthy constraints: A variational gradient framework
title_full_unstemmed Sampling with trusthworthy constraints: A variational gradient framework
title_sort sampling with trusthworthy constraints: a variational gradient framework
publisher Neural Information Processing Systems
publishDate 2021
url https://scholarbank.nus.edu.sg/handle/10635/211397
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