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Ryan 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
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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) - [i16]Rachel Morris, Ryan Murray:
Uniform Convergence of Adversarially Robust Classifiers. CoRR abs/2406.14682 (2024) - [i15]Ryan Murray, Adam Pickarski:
On Probabilistic Embeddings in Optimal Dimension Reduction. CoRR abs/2408.02433 (2024) - [i14]Ryan Murray, Adam Pickarski:
Large data limits and scaling laws for tSNE. CoRR abs/2410.13063 (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 S. 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
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
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
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
A model for system uncertainty in reinforcement learning. Syst. Control. Lett. 122: 24-31 (2018) - [j2]Brian Swenson
On Best-Response Dynamics in Potential Games. SIAM J. Control. Optim. 56(4): 2734-2767 (2018) - [c1]Brian Swenson, Ryan W. Murray
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
Algebraic Decay to Equilibrium for the Becker-Döring Equations. SIAM J. Math. Anal. 48(4): 2819-2842 (2016)
Coauthor Index
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last updated on 2024-12-12 20:58 CET by the dblp team
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