8 citations · 12 across the 2 of their papers we have counts for
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cs.LG2022★ 8 cited
More Than a Toy: Random Matrix Models Predict How Real-World Neural Representations Generalize
Alexander Wei, Wei Hu, Jacob Steinhardt
Of theories for why large-scale machine learning models generalize despite being vastly overparameterized, which of their assumptions are needed to capture the qualitative phenomen…
cs.LG2022★ 4 cited
Predicting Out-of-Distribution Error with the Projection Norm
Yaodong Yu, Zitong Yang, Alexander Wei +2
We propose a metric -- Projection Norm -- to predict a model's performance on out-of-distribution (OOD) data without access to ground truth labels. Projection Norm first uses model…
cs.LG2020
Optimal Robustness-Consistency Trade-offs for Learning-Augmented Online Algorithms
Alexander Wei, Fred Zhang
We study the problem of improving the performance of online algorithms by incorporating machine-learned predictions. The goal is to design algorithms that are both consistent and r…