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08/29/2023
An Adaptive Tangent Feature Perspective of Neural Networks
In order to better understand feature learning in neural networks, we pr...
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01/05/2023
WIRE: Wavelet Implicit Neural Representations
Implicit neural representations (INRs) have recently advanced numerous v...
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11/07/2022
Asymptotics of the Sketched Pseudoinverse
We take a random matrix theory approach to random sketching and show an ...
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10/20/2022
Monotonic Risk Relationships under Distribution Shifts for Regularized Risk Minimization
Machine learning systems are often applied to data that is drawn from a ...
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05/27/2022
Benign Overparameterization in Membership Inference with Early Stopping
Does a neural network's privacy have to be at odds with its accuracy? In...
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06/14/2021
The Flip Side of the Reweighted Coin: Duality of Adaptive Dropout and Regularization
Among the most successful methods for sparsifying deep (neural) networks...
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10/27/2020
Wearing a MASK: Compressed Representations of Variable-Length Sequences Using Recurrent Neural Tangent Kernels
High dimensionality poses many challenges to the use of data, from visua...
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10/10/2019
The Implicit Regularization of Ordinary Least Squares Ensembles
Ensemble methods that average over a collection of independent predictor...
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05/22/2019
Thresholding Graph Bandits with GrAPL
In this paper, we introduce a new online decision making paradigm that w...
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02/25/2019
Adaptive Estimation for Approximate k-Nearest-Neighbor Computations
Algorithms often carry out equally many computations for "easy" and "har...
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06/12/2018