Evan Becker — accepted AI-conference papers

2023

High Probability Bounds for Stochastic Continuous Submodular Maximization

Evan Becker, Jingdong Gao, Ted Zadouri, Baharan Mirzasoleiman

AISTATS 2023poster

We consider maximization of stochastic monotone continuous submodular functions (CSF) with a diminishing return property. Existing algorithms only guarantee the performance in expectation, and do not bound the probability of getting a bad solution. This implies that for a particular run of the algor…

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2022

Instability and Local Minima in GAN Training with Kernel Discriminators

Evan Becker, Parthe Pandit, Sundeep Rangan, Alyson Fletcher

NeurIPS 2022accept

Generative Adversarial Networks (GANs) are a widely-used tool for generative modeling of complex data. Despite their empirical success, the training of GANs is not fully understood due to the joint training of the generator and discriminator. This paper analyzes these joint dynamics when the true s…

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