Some algorithms and hardness results for the planted clique problem

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Abstract/Contents

Abstract
One fascinating aspect of trying to solve modern high-dimensional statistical tasks is the rich interplay between the twin requirements of computational as well as statistical tractability. The planted clique problem is a prototypical task that exhibits this interplay. As such, it has become a testbed for theoretical computer scientists interested in developing tools to understand and predict the computational intractability of statistically feasible problems. In this thesis, we discuss some algorithmic and hardness results for the planted clique problem, particularly using the lens of sublinear-time algorithms, query complexity, and memory complexity.

Description

Type of resource text
Form electronic resource; remote; computer; online resource
Extent 1 online resource.
Place California
Place [Stanford, California]
Publisher [Stanford University]
Copyright date 2023; ©2023
Publication date 2023; 2023
Issuance monographic
Language English

Creators/Contributors

Author Mardia, Jay Sushil
Degree supervisor Weissman, Tsachy
Thesis advisor Weissman, Tsachy
Thesis advisor Valiant, Gregory
Thesis advisor Wootters, Mary
Degree committee member Valiant, Gregory
Degree committee member Wootters, Mary
Associated with Stanford University, School of Engineering
Associated with Stanford University, Department of Electrical Engineering

Subjects

Genre Theses
Genre Text

Bibliographic information

Statement of responsibility Jay Mardia.
Note Submitted to the Department of Electrical Engineering.
Thesis Thesis Ph.D. Stanford University 2023.
Location https://purl.stanford.edu/df272wv9313

Access conditions

Copyright
© 2023 by Jay Sushil Mardia
License
This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).

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