| On best-response dynamics in potential games B Swenson, R Murray, S Kar arXiv preprint arXiv:1707.06465, 2017 | 65 | 2017 |
| 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 | 64 | 2015 |
| 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 | 50 | 2019 |
| Distributed stochastic gradient descent: Nonconvexity, nonsmoothness, and convergence to local minima B Swenson, R Murray, S Kar, HV Poor Journal of Machine Learning Research 23 (328), 1--62, 2022 | 32* | 2022 |
| Distributed inertial best-response dynamics B Swenson, C Eksin, S Kar, A Ribeiro IEEE Transactions on Automatic Control 63 (12), 4294-4300, 2018 | 28 | 2018 |
| 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 | 27 | 2019 |
| 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 | 20 | 2012 |
| 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 | 19 | 2017 |
| 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 | 18 | 2019 |
| Single sample fictitious play B Swenson, S Kar, J Xavier IEEE Transactions on Automatic Control 62 (11), 6026-6031, 2017 | 18* | 2017 |
| Distributed gradient flow: Nonsmoothness, nonconvexity, and saddle point evasion B Swenson, R Murray, HV Poor, S Kar IEEE Transactions on Automatic Control 67 (8), 3949-3964, 2021 | 16 | 2021 |
| Regular potential games B Swenson, R Murray, S Kar Games and Economic Behavior 124, 432-453, 2020 | 12 | 2020 |
| 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 | 11 | 2017 |
| 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 | 10 | 2016 |
| Clustering with distributed data S Kar, B Swenson arXiv preprint arXiv:1901.00214, 2019 | 9 | 2019 |
| 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 | 8 | 2020 |
| Control of parametric games C Fiscko, B Swenson, S Kar, B Sinopoli 2019 18th European Control Conference (ECC), 1036-1042, 2019 | 8 | 2019 |
| 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 | 6 | 2015 |
| Distributed gradient methods for nonconvex optimization: Local and global convergence guarantees B Swenson, S Kar, HV Poor, JMF Moura, A Jaech arXiv preprint arXiv:2003.10309, 2020 | 4 | 2020 |
| Distributed global optimization by annealing B Swenson, S Kart, HV Poor, JMF Moura 2019 IEEE 8th International Workshop on Computational Advances in Multi …, 2019 | 4 | 2019 |
Soummya KarElectrical and Computer Engineering, Carnegie Mellon UniversityDirección de correo verificada de andrew.cmu.edu
