Show simple item record

Perturbation Algorithms for Adversarial Online Learning

dc.contributor.authorLi, Zifan
dc.contributor.advisorTewari, Ambuj
dc.date.accessioned2017-11-21T19:06:00Z
dc.date.available2017-11-21T19:06:00Z
dc.date.issued2017-04
dc.identifier.urihttps://hdl.handle.net/2027.42/139668
dc.language.isoen_USen_US
dc.subjectonline learning
dc.subjectperturbation algorithm
dc.titlePerturbation Algorithms for Adversarial Online Learning
dc.typeThesis
dc.description.thesisdegreenameHonors (Bachelor's)
dc.description.thesisdegreedisciplineStatistics
dc.description.thesisdegreegrantorUniversity of Michigan
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttps://deepblue.lib.umich.edu/bitstream/2027.42/139668/1/zifanli.pdf
dc.owningcollnameHonors Theses (Bachelor's)


Files in this item

Show simple item record

Remediation of Harmful Language

The University of Michigan Library aims to describe its collections in a way that respects the people and communities who create, use, and are represented in them. We encourage you to Contact Us anonymously if you encounter harmful or problematic language in catalog records or finding aids. More information about our policies and practices is available at Remediation of Harmful Language.

Accessibility

If you are unable to use this file in its current format, please select the Contact Us link and we can modify it to make it more accessible to you.