59 citations · 88 across the 9 of their papers we have counts for
4 papers · 1 filter
Discovering Data Structures: Nearest Neighbor Search and Beyond
Omar Salemohamed, Laurent Charlin, Shivam Garg +2
We propose a general framework for end-to-end learning of data structures. Our framework adapts to the underlying data distribution and provides fine-grained control over query and…
Gradient Temporal-Difference Learning with Regularized Corrections
Sina Ghiassian, Andrew Patterson, Shivam Garg +3
It is still common to use Q-learning and temporal difference (TD) learning-even though they have divergence issues and sound Gradient TD alternatives exist-because divergence seems…
Sample Amplification: Increasing Dataset Size even when Learning is Impossible
Brian Axelrod, Shivam Garg, Vatsal Sharan +1
Given data drawn from an unknown distribution, , to what extent is it possible to ``amplify'' this dataset and output an even larger set of samples that appear to have been draw…
A Spectral View of Adversarially Robust Features
Shivam Garg, Vatsal Sharan, Brian Hu Zhang +1
Given the apparent difficulty of learning models that are robust to adversarial perturbations, we propose tackling the simpler problem of developing adversarially robust features.…