2020-07
Linear Lower Bounds and Conditioning of Differentiable Games
Adversarial Example Games.
2020-04
A Closer Look at the Optimization Landscapes of Generative Adversarial Networks
2020-01
Adversarial Example Games
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Differentiable Games.
Accelerating Smooth Games by Manipulating Spectral Shapes.
AISTATS 2020
(2020-01-01)
proceedings.mlr.press[LATEST on arXiv preprint arXiv:2001.00602 (2020-01-02)]2019-12
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Implicit Regularization of Discrete Gradient Dynamics in Deep Linear Neural Networks
Reducing Noise in GAN Training with Variance Reduced Extragradient
Non-normal Recurrent Neural Network (nnRNN): learning long time dependencies while improving expressivity with transient dynamics
2019-06
Lower Bounds and Conditioning of Differentiable Games.
A Tight and Unified Analysis of Gradient-Based Methods for a Whole Spectrum of Games
A Tight and Unified Analysis of Extragradient for a Whole Spectrum of Differentiable Games.
2019-05
2019-04
Implicit Regularization of Discrete Gradient Dynamics in Linear Neural Networks.
Negative Momentum for Improved Game Dynamics
2018-07
Negative Momentum for Improved Game Dynamics.
2018-03
Frank-Wolfe Splitting via Augmented Lagrangian Method
AISTATS 2018
(2018-03-31)
proceedings.mlr.pressPDF[LATEST on arXiv preprint arXiv:1804.03176 (2018-04-09)]2018-02
A Variational Inequality Perspective on Generative Adversarial Nets
Parametric Adversarial Divergences are Good Task Losses for Generative Modeling
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