Brian Swenson

Publication Activity (10 Years)

Years Active: 2012-2023
Publications (10 Years): 32

Top Topics

Global Optimization

Nash Equilibria

Fictitious Play

Top Venues

IEEE Trans. Autom. Control.

Publications

Adam D. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. CoRR (2023)
Adam B. Cobb, Anirban Roy, Daniel Elenius, F. Michael Heim, Brian Swenson, Sydney Whittington, James D. Walker, Theodore Bapty, Joseph Hite, Karthik Ramani, Christopher McComb, Susmit Jha
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs. NeurIPS (2023)
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 (2022)
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) (2022)
Meng Zhang, Brian Swenson, Jianwei Huang, H. Vincent Poor
Truthful mobile crowd sensing with interdependent valuations. MobiHoc (2020)
Brian Swenson, Anirudh Sridhar, H. Vincent Poor
On Distributed Stochastic Gradient Algorithms for Global Optimization. ICASSP (2020)
Brian Swenson, Ryan W. Murray, Soummya Kar
Regular potential games. Games Econ. Behav. 124 (2020)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Flow: Nonsmoothness, Nonconvexity, and Saddle Point Evasion. CoRR (2020)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CAMSAP (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Annealing for Distributed Global Optimization. CDC (2019)
Brian Swenson, H. Vincent Poor
Smooth Fictitious Play in N × 2 Potential Games. ACSSC (2019)
Brian Swenson, Soummya Kar, H. Vincent Poor, José M. F. Moura
Distributed Global Optimization by Annealing. CoRR (2019)
Ryan W. Murray, Brian Swenson, Soummya Kar
Revisiting Normalized Gradient Descent: Fast Evasion of Saddle Points. IEEE Trans. Autom. Control. 64 (11) (2019)
Soummya Kar, Brian Swenson
Clustering with Distributed Data. CoRR (2019)
Brian Swenson, Anirudh Sridhar, H. Vincent Poor
On Distributed Stochastic Gradient Algorithms for Global Optimization. CoRR (2019)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. CoRR (2019)
Brian Swenson, H. Vincent Poor
Smooth Fictitious Play in N×2 Potential Games. CoRR (2019)
Carmel Fiscko, Brian Swenson, Soummya Kar, Bruno Sinopoli
Control of Parametric Games. ECC (2019)
Brian Swenson, Ryan W. Murray, H. Vincent Poor, Soummya Kar
Distributed Gradient Descent: Nonconvergence to Saddle Points and the Stable-Manifold Theorem. Allerton (2019)
Brian Swenson, Ryan W. Murray, Soummya Kar, H. Vincent Poor
Best-Response Dynamics in Continuous Potential Games: Non-Convergence to Saddle Points. ACSSC (2018)
Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
Distributed Inertial Best-Response Dynamics. IEEE Trans. Autom. Control. 63 (12) (2018)
Brian Swenson, Ryan W. Murray, Soummya Kar
On Best-Response Dynamics in Potential Games. SIAM J. Control. Optim. 56 (4) (2018)
Brian Swenson, Soummya Kar
On the exponential rate of convergence of fictitious play in potential games. Allerton (2017)
Brian Swenson, Ryan W. Murray, Soummya Kar
Regular Potential Games. CoRR (2017)
Brian Swenson, Soummya Kar
On the Exponential Rate of Convergence of Fictitious Play in Potential Games. CoRR (2017)
Brian Swenson, Ryan W. Murray, Soummya Kar
Fictitious Play in Potential Games. CoRR (2017)
Brian Swenson, Soummya Kar, João M. F. Xavier, David S. Leslie
Robustness Properties in Fictitious-Play-Type Algorithms. SIAM J. Control. Optim. 55 (5) (2017)
Brian Swenson, Soummya Kar, João M. F. Xavier
Single Sample Fictitious Play. IEEE Trans. Autom. Control. 62 (11) (2017)
Ceyhun Eksin, Brian Swenson, Soummya Kar, Alejandro Ribeiro
Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty. CDC (2016)
Brian Swenson, Ceyhun Eksin, Soummya Kar, Alejandro Ribeiro
Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information. CoRR (2016)
Brian Swenson, Soummya Kar, João M. F. Xavier
Computationally efficient learning in large-scale games: Sampled fictitious play revisited. ACSSC (2016)
Rongye Shi, Thomas C. Jackson, Brian Swenson, Soummya Kar, Lawrence T. Pileggi
On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects. IJCNN (2016)
Brian Swenson, Soummya Kar, João M. F. Xavier
On asynchronous implementations of fictitious play for distributed learning. ACSSC (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games. CoRR (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
A computationally efficient implementation of fictitious play in a distributed setting. EUSIPCO (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
From Weak Learning to Strong Learning in Fictitious Play Type Algorithms. CoRR (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games. IEEE Trans. Signal Process. 63 (15) (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
On robustness properties in Empirical Centroid Fictitious Play. CDC (2015)
Brian Swenson, Soummya Kar, João M. F. Xavier
Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria. ACSSC (2014)
Brian Swenson, Soummya Kar, João Manuel Freitas Xavier
Strong convergence to mixed equilibria in fictitious play. CISS (2014)
Tamim Sookoor, David Doria, David Bruno, Dale R. Shires, Brian Swenson, Lori L. Pollock
Offload Destination Selection to Enable Distributed Computation on Battlefields. MILCOM (2014)
Brian Swenson, Soummya Kar, João Manuel Freitas Xavier
Empirical Centroid Fictitious Play: An Approach For Distributed Learning In Multi-Agent Games CoRR (2013)
Brian Swenson, Soummya Kar, João M. F. Xavier
Mean-centric equilibrium: An equilibrium concept for learning in large-scale games. GlobalSIP (2013)
Brian Swenson, Soummya Kar, João Manuel Freitas Xavier
Distributed learning in large-scale multi-agent games: A modified fictitious play approach. ACSCC (2012)