Extending the Reach of Big Data Optimization - Randomized Algorithms for Minimizing Relatively Smooth Functions

Handle URI:
http://hdl.handle.net/10754/626945
Title:
Extending the Reach of Big Data Optimization - Randomized Algorithms for Minimizing Relatively Smooth Functions
Authors:
Hanzely, Filip; Richtárik, Peter
KAUST Department:
Visual Computing Center (VCC)
Conference/Event name:
Winter Enrichment Program KAUST Student Poster Competition 2018
Issue Date:
24-Jan-2018
Type:
Poster
Appears in Collections:
Visual Computing Center (VCC); Winter Enrichment Program 2018

Full metadata record

DC FieldValue Language
dc.contributor.authorHanzely, Filipen
dc.contributor.authorRichtárik, Peteren
dc.date.accessioned2018-01-29T11:53:46Z-
dc.date.available2018-01-29T11:53:46Z-
dc.date.issued2018-01-24-
dc.identifier.urihttp://hdl.handle.net/10754/626945-
dc.titleExtending the Reach of Big Data Optimization - Randomized Algorithms for Minimizing Relatively Smooth Functionsen
dc.typePosteren
dc.contributor.departmentVisual Computing Center (VCC)en
dc.conference.dateJanuary 21-25 2018en
dc.conference.nameWinter Enrichment Program KAUST Student Poster Competition 2018en
dc.conference.locationKAUSTen
kaust.authorHanzely, Filipen
kaust.authorRichtárik, Peter-
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.