565 citations · 612 across the 5 of their papers we have counts for
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cs.LG2021★ 45 cited
Adaptive Machine Unlearning
Varun Gupta, Christopher Jung, Seth Neel +3
Data deletion algorithms aim to remove the influence of deleted data points from trained models at a cheaper computational cost than fully retraining those models. However, for seq…
cs.LG2021★ 1 cited
GABO: Graph Augmentations with Bi-level Optimization
Heejung W. Chung, Avoy Datta, Chris Waites
Data augmentation refers to a wide range of techniques for improving model generalization by augmenting training examples. Oftentimes such methods require domain knowledge about th…
cs.LG2021
Differentially Private Normalizing Flows for Privacy-Preserving Density Estimation
Chris Waites, Rachel Cummings
Normalizing flow models have risen as a popular solution to the problem of density estimation, enabling high-quality synthetic data generation as well as exact probability density…