most citedBeyond Uniform Sampling: Offline Reinforcement Learning with Imbalanced Datasets

2 citations · 6 across the 15 of their papers we have counts for

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stat.ML2024

Function-space Parameterization of Neural Networks for Sequential Learning

Aidan Scannell, Riccardo Mereu, Paul Chang +3

Sequential learning paradigms pose challenges for gradient-based deep learning due to difficulties incorporating new data and retaining prior knowledge. While Gaussian processes el…

stat.ML2023★ 2 cited

Sparse Function-space Representation of Neural Networks

Aidan Scannell, Riccardo Mereu, Paul Chang +3

Deep neural networks (NNs) are known to lack uncertainty estimates and struggle to incorporate new data. We present a method that mitigates these issues by converting NNs from weig…