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10/27/2022
Revisiting the ACVI Method for Constrained Variational Inequalities
ACVI is a recently proposed first-order method for solving variational i...
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07/14/2022
Continuous-time Analysis for Variational Inequalities: An Overview and Desiderata
Algorithms that solve zero-sum games, multi-objective agent objectives, ...
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06/21/2022
Solving Constrained Variational Inequalities via an Interior Point Method
We develop an interior-point approach to solve constrained variational i...
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02/11/2022
Improving Generalization via Uncertainty Driven Perturbations
Recently Shah et al., 2020 pointed out the pitfalls of the simplicity bi...
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12/27/2021
Last-Iterate Convergence of Saddle Point Optimizers via High-Resolution Differential Equations
Several widely-used first-order saddle point optimization methods yield ...
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12/09/2021
The Peril of Popular Deep Learning Uncertainty Estimation Methods
Uncertainty estimation (UE) techniques – such as the Gaussian process (G...
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08/18/2021
Semantic Perturbations with Normalizing Flows for Improved Generalization
Data augmentation is a widely adopted technique for avoiding overfitting...
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11/28/2020
Convening during COVID-19: Lessons learnt from organizing virtual workshops in 2020
This report is an account of the authors' experiences as organizers of W...
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06/25/2020
Taming GANs with Lookahead
Generative Adversarial Networks are notoriously challenging to train. Th...
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04/18/2019
Reducing Noise in GAN Training with Variance Reduced Extragradient
Using large mini-batches when training generative adversarial networks (...
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12/06/2017
SGAN: An Alternative Training of Generative Adversarial Networks
The Generative Adversarial Networks (GANs) have demonstrated impressive ...
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07/28/2017