Brian Swenson
Título
Citado por
Citado por
Año
Empirical centroid fictitious play: An approach for distributed learning in multi-agent games
B Swenson, S Kar, J Xavier
IEEE Transactions on Signal Processing 63 (15), 3888-3901, 2015
482015
On best-response dynamics in potential games
B Swenson, R Murray, S Kar
arXiv preprint arXiv:1707.06465, 2017
22*2017
Annealing for distributed global optimization
B Swenson, S Kar, HV Poor, JMF Moura
2019 IEEE 58th Conference on Decision and Control (CDC), 3018-3025, 2019
192019
Revisiting normalized gradient descent: Fast evasion of saddle points
R Murray, B Swenson, S Kar
IEEE Transactions on Automatic Control 64 (11), 4818-4824, 2019
192019
Distributed learning in large-scale multi-agent games: A modified fictitious play approach
B Swenson, S Kar, J Xavier
2012 Conference Record of the Forty Sixth Asilomar Conference on Signals …, 2012
192012
On the exponential rate of convergence of fictitious play in potential games
B Swenson, S Kar
2017 55th Annual Allerton Conference on Communication, Control, and …, 2017
122017
Distributed gradient descent: Nonconvergence to saddle points and the stable-manifold theorem
B Swenson, R Murray, HV Poor, S Kar
2019 57th Annual Allerton Conference on Communication, Control, and …, 2019
102019
Distributed inertial best-response dynamics
B Swenson, C Eksin, S Kar, A Ribeiro
IEEE Transactions on Automatic Control 63 (12), 4294-4300, 2018
92018
Single sample fictitious play
B Swenson, S Kar, J Xavier
IEEE Transactions on Automatic Control 62 (11), 6026-6031, 2017
8*2017
Robustness properties in fictitious-play-type algorithms
B Swenson, S Kar, J Xavier, DS Leslie
SIAM Journal on Control and Optimization 55 (5), 3295-3318, 2017
82017
Distributed stochastic gradient descent: Nonconvexity, nonsmoothness, and convergence to local minima
B Swenson, R Murray, S Kar, HV Poor
arXiv preprint arXiv:2003.02818, 2020
62020
Regular potential games
B Swenson, R Murray, S Kar
Games and Economic Behavior 124, 432-453, 2020
52020
On distributed stochastic gradient algorithms for global optimization
B Swenson, A Sridhar, HV Poor
ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020
52020
A computationally efficient implementation of fictitious play in a distributed setting
B Swenson, S Kar, J Xavier
2015 23rd European Signal Processing Conference (EUSIPCO), 1043-1047, 2015
52015
On the design of phase locked loop oscillatory neural networks: mitigation of transmission delay effects
R Shi, TC Jackson, B Swenson, S Kar, L Pileggi
2016 International Joint Conference on Neural Networks (IJCNN), 2039-2046, 2016
42016
Mean-centric equilibrium: an equilibrium concept for learning in large-scale games
B Swensony, S Kar, J Xavier
2013 IEEE Global Conference on Signal and Information Processing, 571-574, 2013
42013
Clustering with distributed data
S Kar, B Swenson
arXiv preprint arXiv:1901.00214, 2019
32019
Fictitious play with inertia learns pure equilibria in distributed games with incomplete information
B Swenson, C Eksin, S Kar, A Ribeiro
Available at ArXiv: http://arxiv. org/pdf/1605.00601 v1. pdf, 2016
32016
On robustness properties in empirical centroid fictitious play
B Swenson, S Kar, J Xavier
2015 54th IEEE Conference on Decision and Control (CDC), 3324-3330, 2015
32015
On asynchronous implementations of fictitious play for distributed learning
B Swenson, S Kar, J Xavier
2015 49th Asilomar Conference on Signals, Systems and Computers, 1119-1124, 2015
32015
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