Ryan Murray

Orcid: 0000-0002-4491-4096

Affiliations:
  • North Carolina State University, Raleigh, NC, USA
  • Carnegie Mellon University, Pittsburgh, PA, USA (PhD 2016)


According to our database1, Ryan Murray authored at least 23 papers between 2016 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
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PhD thesis 
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Links

Online presence:

On csauthors.net:

Bibliography

2024
Using Skew to Assess the Quality of GAN-generated Image Features.
Trans. Mach. Learn. Res., 2024

On Probabilistic Embeddings in Optimal Dimension Reduction.
CoRR, 2024

Uniform Convergence of Adversarially Robust Classifiers.
CoRR, 2024

2023
Dirichlet Active Learning.
CoRR, 2023

Using Higher-Order Moments to Assess the Quality of GAN-generated Image Features.
CoRR, 2023

2022
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion.
IEEE Trans. Autom. Control., 2022

Tukey Depths and Hamilton-Jacobi Differential Equations.
SIAM J. Math. Data Sci., 2022

Adversarial Classification: Necessary Conditions and Geometric Flows.
J. Mach. Learn. Res., 2022

Distributed Stochastic Gradient Descent: Nonconvexity, Nonsmoothness, and Convergence to Local Minima.
J. Mach. Learn. Res., 2022

Rates of Convergence for Regression with the Graph Poly-Laplacian.
CoRR, 2022

Eikonal depth: an optimal control approach to statistical depths.
CoRR, 2022

2021
The Geometry of Adversarial Training in Binary Classification.
CoRR, 2021

2020
A Maximum Principle Argument for the Uniform Convergence of Graph Laplacian Regressors.
SIAM J. Math. Data Sci., 2020

Regular potential games.
Games Econ. Behav., 2020

From graph cuts to isoperimetric inequalities: Convergence rates of Cheeger cuts on data clouds.
CoRR, 2020

2019
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points.
IEEE Trans. Autom. Control., 2019

Modelling uncertainty in reinforcement learning.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem.
Proceedings of the 57th Annual Allerton Conference on Communication, 2019

2018
On Best-Response Dynamics in Potential Games.
SIAM J. Control. Optim., 2018

A model for system uncertainty in reinforcement learning.
Syst. Control. Lett., 2018

Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points.
Proceedings of the 52nd Asilomar Conference on Signals, Systems, and Computers, 2018

2017
Fictitious Play in Potential Games.
CoRR, 2017

2016
Algebraic Decay to Equilibrium for the Becker-Döring Equations.
SIAM J. Math. Anal., 2016


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