default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRyan Murray 0001
Person information
- affiliation: North Carolina State University, Raleigh, NC, USA
- affiliation (PhD 2016): Carnegie Mellon University, Pittsburgh, PA, USA
Other persons with the same name
- Ryan Murray 0002 — University of Westminster, London, UK
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
2020 – today
- 2024
[j11]Lorenzo Luzi, Helen Jenne, Carlos Ortiz Marrero, Ryan Murray:
Using Skew to Assess the Quality of GAN-generated Image Features. Trans. Mach. Learn. Res. 2024 (2024)- [i15]Rachel Morris, Ryan Murray:
Uniform Convergence of Adversarially Robust Classifiers. CoRR abs/2406.14682 (2024) - [i14]Ryan Murray, Adam Pickarski:
On Probabilistic Embeddings in Optimal Dimension Reduction. CoRR abs/2408.02433 (2024) - 2023
- [i13]Lorenzo Luzi, Helen Jenne, Ryan Murray, Carlos Ortiz Marrero:
Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features. CoRR abs/2310.20636 (2023) - [i12]Kevin Miller
, Ryan Murray:
Dirichlet Active Learning. CoRR abs/2311.05501 (2023) - 2022
- [j10]Nicolás García Trillos, Ryan Murray:
Adversarial Classification: Necessary Conditions and Geometric Flows. J. Mach. Learn. Res. 23: 187:1-187:38 (2022) - [j9]Brian Swenson, Ryan Murray, H. Vincent Poor, Soummya Kar:
Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima. J. Mach. Learn. Res. 23: 328:1-328:62 (2022) - [j8]Martin Molina-Fructuoso, Ryan W. Murray:
Tukey Depths and Hamilton-Jacobi Differential Equations. SIAM J. Math. Data Sci. 4(2): 604-633 (2022) - [j7]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. IEEE Trans. Autom. Control. 67(8): 3949-3964 (2022) - [i11]Martin Molina-Fructuoso, Ryan W. Murray:
Eikonal depth: an optimal control approach to statistical depths. CoRR abs/2201.05274 (2022) - [i10]Nicolás García Trillos, Ryan Murray, Matthew Thorpe:
Rates of Convergence for Regression with the Graph Poly-Laplacian. CoRR abs/2209.02305 (2022) - 2021
- [i9]Martin Molina-Fructuoso, Ryan W. Murray:
Tukey Depths and Hamilton-Jacobi Differential Equations. CoRR abs/2104.01648 (2021) - [i8]Leon Bungert, Nicolás García Trillos, Ryan Murray:
The Geometry of Adversarial Training in Binary Classification. CoRR abs/2111.13613 (2021) - 2020
- [j6]Brian Swenson, Ryan W. Murray, Soummya Kar:
Regular potential games. Games Econ. Behav. 124: 432-453 (2020) - [j5]Nicolás García Trillos, Ryan W. Murray:
A Maximum Principle Argument for the Uniform Convergence of Graph Laplacian Regressors. SIAM J. Math. Data Sci. 2(3): 705-739 (2020) - [i7]Nicolás García Trillos, Ryan Murray, Matthew Thorpe:
From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds. CoRR abs/2004.09304 (2020) - [i6]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. CoRR abs/2008.05387 (2020) - [i5]Nicolás García Trillos, Ryan Murray:
Adversarial Classification: Necessary conditions and geometric flows. CoRR abs/2011.10797 (2020)
2010 – 2019
- 2019
- [j4]Ryan W. Murray, Brian Swenson, Soummya Kar:
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Trans. Autom. Control. 64(11): 4818-4824 (2019) - [c3]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. Allerton 2019: 595-601 - [c2]Ryan W. Murray, Michele Palladino:
Modelling uncertainty in reinforcement learning. CDC 2019: 2436-2441 - [i4]Nicolás García Trillos, Ryan Murray:
A maximum principle argument for the uniform convergence of graph Laplacian regressors. CoRR abs/1901.10089 (2019) - [i3]Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar:
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. CoRR abs/1908.02747 (2019) - 2018
- [j3]Ryan W. Murray, Michele Palladino:
A model for system uncertainty in reinforcement learning. Syst. Control. Lett. 122: 24-31 (2018) - [j2]Brian Swenson, Ryan W. Murray, Soummya Kar:
On Best-Response Dynamics in Potential Games. SIAM J. Control. Optim. 56(4): 2734-2767 (2018) - [c1]Brian Swenson, Ryan W. Murray, Soummya Kar, H. Vincent Poor:
Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points. ACSSC 2018: 310-315 - 2017
- [i2]Brian Swenson, Ryan W. Murray, Soummya Kar:
Fictitious Play in Potential Games. CoRR abs/1707.06465 (2017) - [i1]Brian Swenson, Ryan W. Murray, Soummya Kar:
Regular Potential Games. CoRR abs/1707.06466 (2017) - 2016
- [j1]Ryan W. Murray, Robert L. Pego:
Algebraic Decay to Equilibrium for the Becker-Döring Equations. SIAM J. Math. Anal. 48(4): 2819-2842 (2016)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-09-30 00:07 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
