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06/07/2023
On the Joint Interaction of Models, Data, and Features
Learning features from data is one of the defining characteristics of de...
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06/27/2022
Agreement-on-the-Line: Predicting the Performance of Neural Networks under Distribution Shift
Recently, Miller et al. showed that a model's in-distribution (ID) accur...
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03/31/2022
Efficient Maximal Coding Rate Reduction by Variational Forms
The principle of Maximal Coding Rate Reduction (MCR^2) has recently been...
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07/08/2021
Computational Benefits of Intermediate Rewards for Hierarchical Planning
Many hierarchical reinforcement learning (RL) applications have empirica...
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06/25/2021
Assessing Generalization of SGD via Disagreement
We empirically show that the test error of deep networks can be estimate...
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11/30/2020