About: John Duchi

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An Entity of Type : wikibase:Item, within Data Space : wikidata.demo.openlinksw.com associated with source document(s)

statistician

Attributes	Values
rdf:type	Item
field of work	wds:Q67942461-549018C1-C186-4757-B39E-AFDE662AC265 wds:Q67942461-8B2F6CD6-C072-4BFE-BF2B-938C1098CC05
field of work	electrical engineering statistics
description	statistician (en) onderzoeker (nl)
rdfs:label	John Duchi (en) John Duchi (es) John Duchi (ga) John Duchi (nl) John Duchi (sq) John Duchi (ast)
skos:prefLabel	John Duchi (en) John Duchi (es) John Duchi (ga) John Duchi (nl) John Duchi (sq) John Duchi (ast)
name	John Duchi (en) John Duchi (es) John Duchi (ga) John Duchi (nl) John Duchi (sq) John Duchi (ast)
affiliation	wds:Q67942461-8E8A0908-5604-44B7-B1B1-6AF9D9888DB7
affiliation	Stanford University Statistics Department
given name	wds:Q67942461-5C9F95CE-38AB-4B41-9BB8-03A335ED7E56
given name	John
instance of	wds:Q67942461-86E36E2D-66E8-4304-AC04-887DA0B9E452
instance of	Homo sapiens
zbMATH author ID	wds:Q67942461-30122fff-4ff9-a38c-8176-0f9796b7ecc7
doctoral advisor	wds:Q67942461-0b8833fe-4409-fba2-3b56-ea98f1e96a69 wds:Q67942461-c8eb28f4-4c51-628d-817c-8d4571168169
doctoral student	wds:Q67942461-0489b04c-465f-9e6e-a55e-a76c1caa25bb wds:Q67942461-0ed07338-4896-7ec9-a0e5-bf62b16972d0
Academic Tree ID	wds:Q67942461-ef83244e-4d8f-4ce5-2cc4-8e8cd30da1e2
MR Author ID	wds:Q67942461-5209a23b-4f8c-9a52-aef9-fae3c2330d6a
Mathematics Genealogy Project ID	wds:Q67942461-e0a52c38-48e5-0412-e094-18fc50189ae6
zbMATH author ID	duchi.john-c
doctoral advisor	Michael I. Jordan Martin J. Wainwright
doctoral student	Hongseok Namkoong Yair Carmon
Academic Tree ID	100652
MR Author ID	895441
Mathematics Genealogy Project ID	263066
work location	wds:Q67942461-52DE0590-4027-4982-8FE1-63A374DBA7B1
work location	Stanford
Google Scholar author ID	wds:Q67942461-52ce6128-4374-6192-0395-e4373fe628c5
Google Scholar author ID	i5srt20AAAAJ
skos:altLabel	John C Duchi (en) John C. Duchi (en)
occupation	wds:Q67942461-215A6C38-4291-4F1F-822C-50DBC6B20E99 wds:Q67942461-3829FF12-4DB7-4C5C-82BE-863C431C799F wds:Q67942461-4C302BFC-A450-488B-AF4C-C4A47EF6A9C5
employer	wds:Q67942461-FE1BFC08-DB5B-4FE6-8144-DC7193E71CFF
NUKAT ID	wds:Q67942461-81502566-6438-4CC6-A855-232B2F1F91AD
sex or gender	wds:Q67942461-7282f73f-4b6e-6bb6-08ff-6fdc60daa91b
ISNI	wds:Q67942461-71EA3FAD-FC1A-4D1C-B5A6-AB13C3CEF284
VIAF ID	wds:Q67942461-4FDC6D2B-8C66-45E1-BE09-75DA970D74D4
Library of Congress authority ID	wds:Q67942461-B177C038-EFD8-4621-BAA0-50FCE89519C6
DBLP author ID	wds:Q67942461-F2EB2078-693A-48AD-AE4F-93FCA9F55DCA
IdRef ID	wds:Q67942461-F82C6FE9-549B-4FA5-96F4-44041AE2C5AB
maintained by WikiProject	wds:Q67942461-568BE0C5-363C-4574-A083-16F40A4A213A
educated at	wds:Q67942461-3656824f-4fae-2df0-307c-e14d8fbf941f
official website	wds:Q67942461-F3FF5E54-E183-4405-AAA3-EC0D86F9D952
VIAF ID	http://viaf.org/viaf/313298017
Library of Congress authority ID	http://id.loc.gov/authorities/names/no2015001353
DBLP author ID	https://dblp.org/pid/41/439.rdf
IdRef ID	http://www.idref.fr/234806982/id
occupation	statistician university teacher electrical engineer
employer	Stanford University
NUKAT ID	n2019027414
sex or gender	male
ISNI	0000000476441144
VIAF ID	313298017
Library of Congress authority ID	no2015001353
DBLP author ID	41/439
IdRef ID	234806982
maintained by WikiProject	WikiProject Mathematics
educated at	University of California, Berkeley
official website	https://profiles.stanford.edu/john-duchi
ORCID iD	wds:Q67942461-6A07FE56-64FD-431B-8E01-5377F4EB3BB1
ORCID iD	https://orcid.org/0000-0003-0045-7185
ORCID iD	0000-0003-0045-7185
is owl:sameAs of	John Duchi
is about of	https://www.wikidata.org/wiki/Special:EntityData/Q67942461
is author of	Simultaneous dimension reduction and adjustment for confounding variation Large-Scale Methods for Distributionally Robust Optimization Privacy Aware Learning Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods Efficient Learning using Forward-Backward Splitting Minimax Optimal Procedures for Locally Private Estimation Conic Descent and its Application to Memory-efficient Optimization over Positive Semidefinite Matrices Learning Kernels with Random Features Unlabeled Data Improves Adversarial Robustness Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation

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