3 citations · 7 across the 15 of their papers we have counts for
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Mechanism of feature learning in deep fully connected networks and kernel machines that recursively learn features
Adityanarayanan Radhakrishnan, Daniel Beaglehole, Parthe Pandit +1
In recent years neural networks have achieved impressive results on many technological and scientific tasks. Yet, the mechanism through which these models automatically select feat…
On the Inconsistency of Kernel Ridgeless Regression in Fixed Dimensions
Daniel Beaglehole, Mikhail Belkin, Parthe Pandit
``Benign overfitting'', the ability of certain algorithms to interpolate noisy training data and yet perform well out-of-sample, has been a topic of considerable recent interest. W…
Sampling Equilibria: Fast No-Regret Learning in Structured Games
Daniel Beaglehole, Max Hopkins, Daniel Kane +2
Learning and equilibrium computation in games are fundamental problems across computer science and economics, with applications ranging from politics to machine learning. Much of t…