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Farzan Farnia
Farzan Farnia
Assistant Professor, Chinese University of Hong Kong
Verified email at cuhk.edu.hk - Homepage
Title
Cited by
Cited by
Year
Gans may have no nash equilibria
F Farnia, A Ozdaglar
arXiv preprint arXiv:2002.09124, 2020
159*2020
Generalizable adversarial training via spectral normalization
F Farnia, JM Zhang, D Tse
arXiv preprint arXiv:1811.07457, 2018
1562018
Robust federated learning: The case of affine distribution shifts
A Reisizadeh, F Farnia, R Pedarsani, A Jadbabaie
Advances in Neural Information Processing Systems 33, 21554-21565, 2020
1502020
A minimax approach to supervised learning
F Farnia, D Tse
Advances in Neural Information Processing Systems 29, 2016
1282016
Understanding GANs in the LQG setting: Formulation, generalization and stability
S Feizi, F Farnia, T Ginart, D Tse
IEEE Journal on Selected Areas in Information Theory 1 (1), 304-311, 2020
111*2020
Near optimal energy control and approximate capacity of energy harvesting communication
Y Dong, F Farnia, A Özgür
IEEE Journal on Selected Areas in Communications 33 (3), 540-557, 2015
922015
A convex duality framework for GANs
F Farnia, D Tse
Advances in neural information processing systems 31, 2018
682018
Train simultaneously, generalize better: Stability of gradient-based minimax learners
F Farnia, A Ozdaglar
International Conference on Machine Learning, 3174-3185, 2021
422021
An optimal transport approach to personalized federated learning
F Farnia, A Reisizadeh, R Pedarsani, A Jadbabaie
IEEE Journal on Selected Areas in Information Theory 3 (2), 162-171, 2022
112022
Discrete rényi classifiers
M Razaviyayn, F Farnia, D Tse
Advances in Neural Information Processing Systems 28, 2015
112015
On the role of generalization in transferability of adversarial examples
Y Wang, F Farnia
Uncertainty in Artificial Intelligence, 2259-2270, 2023
72023
GAT–GMM: Generative Adversarial Training for Gaussian Mixture Models
F Farnia, WW Wang, S Das, A Jadbabaie
SIAM Journal on Mathematics of Data Science 5 (1), 122-146, 2023
72023
Mode-seeking divergences: theory and applications to GANs
CT Li, F Farnia
International Conference on Artificial Intelligence and Statistics, 8321-8350, 2023
62023
A Wasserstein minimax framework for mixed linear regression
T Diamandis, Y Eldar, A Fallah, F Farnia, A Ozdaglar
International Conference on Machine Learning, 2697-2706, 2021
62021
A Fourier-based approach to generalization and optimization in deep learning
F Farnia, JM Zhang, NT David
IEEE Journal on Selected Areas in Information Theory 1 (1), 145-156, 2020
62020
Diffpattern: Layout pattern generation via discrete diffusion
Z Wang, Y Shen, W Zhao, Y Bai, G Chen, F Farnia, B Yu
2023 60th ACM/IEEE Design Automation Conference (DAC), 1-6, 2023
52023
Minimum HGR correlation principle: From marginals to joint distribution
F Farnia, M Razaviyayn, S Kannan, D Tse
2015 IEEE International Symposium on Information Theory (ISIT), 1377-1381, 2015
42015
On convergence of gradient descent ascent: A tight local analysis
H Li, F Farnia, S Das, A Jadbabaie
International Conference on Machine Learning, 12717-12740, 2022
32022
Asymptotic behavior of network capacity under spatial network coding
F Farnia, SJ Golestani
2013 IEEE Wireless Communications and Networking Conference (WCNC), 2434-2439, 2013
32013
Provably Efficient CVaR RL in Low-rank MDPs
Y Zhao, W Zhan, X Hu, H Leung, F Farnia, W Sun, JD Lee
arXiv preprint arXiv:2311.11965, 2023
22023
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