Brian Swenson

Orcid: 0000-0002-7716-982X

According to our database1, Brian Swenson authored at least 37 papers between 2012 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2023
AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
CoRR, 2023

AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

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

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

2020
Regular potential games.
Games Econ. Behav., 2020

Truthful mobile crowd sensing with interdependent valuations.
Proceedings of the Mobihoc '20: The Twenty-first ACM International Symposium on Theory, 2020

On Distributed Stochastic Gradient Algorithms for Global Optimization.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

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

Clustering with Distributed Data.
CoRR, 2019

Control of Parametric Games.
Proceedings of the 17th European Control Conference, 2019

Annealing for Distributed Global Optimization.
Proceedings of the 58th IEEE Conference on Decision and Control, 2019

Distributed Global Optimization by Annealing.
Proceedings of the 8th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2019

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

Smooth Fictitious Play in N × 2 Potential Games.
Proceedings of the 53rd Asilomar Conference on Signals, Systems, and Computers, 2019

2018
Distributed Inertial Best-Response Dynamics.
IEEE Trans. Autom. Control., 2018

On Best-Response Dynamics in Potential Games.
SIAM J. Control. Optim., 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
Myopic Best-Response Learning in Large-Scale Games.
PhD thesis, 2017

Single Sample Fictitious Play.
IEEE Trans. Autom. Control., 2017

Robustness Properties in Fictitious-Play-Type Algorithms.
SIAM J. Control. Optim., 2017

Fictitious Play in Potential Games.
CoRR, 2017

On the exponential rate of convergence of fictitious play in potential games.
Proceedings of the 55th Annual Allerton Conference on Communication, 2017

2016
Fictitious Play with Inertia Learns Pure Equilibria in Distributed Games with Incomplete Information.
CoRR, 2016

On the design of phase locked loop oscillatory neural networks: Mitigation of transmission delay effects.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Learning pure-strategy Nash equilibria in networked multi-agent systems with uncertainty.
Proceedings of the 55th IEEE Conference on Decision and Control, 2016

Computationally efficient learning in large-scale games: Sampled fictitious play revisited.
Proceedings of the 50th Asilomar Conference on Signals, Systems and Computers, 2016

2015
Empirical Centroid Fictitious Play: An Approach for Distributed Learning in Multi-Agent Games.
IEEE Trans. Signal Process., 2015

A Computationally Efficient Implementation of Fictitious Play for Large-Scale Games.
CoRR, 2015

From Weak Learning to Strong Learning in Fictitious Play Type Algorithms.
CoRR, 2015

A computationally efficient implementation of fictitious play in a distributed setting.
Proceedings of the 23rd European Signal Processing Conference, 2015

On robustness properties in Empirical Centroid Fictitious Play.
Proceedings of the 54th IEEE Conference on Decision and Control, 2015

On asynchronous implementations of fictitious play for distributed learning.
Proceedings of the 49th Asilomar Conference on Signals, Systems and Computers, 2015

2014
Offload Destination Selection to Enable Distributed Computation on Battlefields.
Proceedings of the 2014 IEEE Military Communications Conference, 2014

Strong convergence to mixed equilibria in fictitious play.
Proceedings of the 48th Annual Conference on Information Sciences and Systems, 2014

Game-theoretic learning in a distributed-information setting: Distributed convergence to mean-centric equilibria.
Proceedings of the 48th Asilomar Conference on Signals, Systems and Computers, 2014

2013
Mean-centric equilibrium: An equilibrium concept for learning in large-scale games.
Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

2012
Distributed learning in large-scale multi-agent games: A modified fictitious play approach.
Proceedings of the Conference Record of the Forty Sixth Asilomar Conference on Signals, 2012


  Loading...