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07/28/2023
On Single Index Models beyond Gaussian Data
Sparse high-dimensional functions have arisen as a rich framework to stu...
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08/05/2022
Towards Antisymmetric Neural Ansatz Separation
We study separations between two fundamental models (or Ansätze) of anti...
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06/02/2022
Exponential Separations in Symmetric Neural Networks
In this work we demonstrate a novel separation between symmetric neural ...
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08/16/2020
A Functional Perspective on Learning Symmetric Functions with Neural Networks
Symmetric functions, which take as input an unordered, fixed-size set, a...
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02/27/2020
Provably Efficient Third-Person Imitation from Offline Observation
Domain adaptation in imitation learning represents an essential step tow...
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03/21/2019
Stochastic Optimization of Sorting Networks via Continuous Relaxations
Sorting input objects is an important step in many machine learning pipe...
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03/28/2018