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Dual Training of Energy-Based Models with Overparametrized Shallow Neural Networks
Energy-based models (EBMs) are generative models that are usually traine...
07/11/2021 ∙ by Carles Domingo Enrich, et al. ∙
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Separation Results between Fixed-Kernel and Feature-Learning Probability Metrics
Several works in implicit and explicit generative modeling empirically o...
06/10/2021 ∙ by Carles Domingo Enrich, et al. ∙
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On Energy-Based Models with Overparametrized Shallow Neural Networks
Energy-based models (EBMs) are a simple yet powerful framework for gener...
04/15/2021 ∙ by Carles Domingo Enrich, et al. ∙
15
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Average-case Acceleration for Bilinear Games and Normal Matrices
Advances in generative modeling and adversarial learning have given rise...
10/05/2020 ∙ by Carles Domingo Enrich, et al. ∙
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A mean-field analysis of two-player zero-sum games
Finding Nash equilibria in two-player zero-sum continuous games is a cen...
02/14/2020 ∙ by Carles Domingo Enrich, et al. ∙
5
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Extra-gradient with player sampling for provable fast convergence in n-player games
Data-driven model training is increasingly relying on finding Nash equil...
05/29/2019 ∙ by Samy Jelassi, et al. ∙
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