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06/18/2023
Agnostically Learning Single-Index Models using Omnipredictors
We give the first result for agnostically learning Single-Index Models (...
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05/19/2023
Tester-Learners for Halfspaces: Universal Algorithms
We give the first tester-learner for halfspaces that succeeds universall...
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04/20/2023
Learning Narrow One-Hidden-Layer ReLU Networks
We consider the well-studied problem of learning a linear combination of...
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02/28/2023
An Efficient Tester-Learner for Halfspaces
We give the first efficient algorithm for learning halfspaces in the tes...
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11/23/2022
A Moment-Matching Approach to Testable Learning and a New Characterization of Rademacher Complexity
A remarkable recent paper by Rubinfeld and Vasilyan (2022) initiated the...
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02/10/2022
Hardness of Noise-Free Learning for Two-Hidden-Layer Neural Networks
We give superpolynomial statistical query (SQ) lower bounds for learning...
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11/08/2021
Efficiently Learning Any One Hidden Layer ReLU Network From Queries
Model extraction attacks have renewed interest in the classic problem of...
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09/28/2020
Learning Deep ReLU Networks Is Fixed-Parameter Tractable
We consider the problem of learning an unknown ReLU network with respect...
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05/26/2020
Approximation Schemes for ReLU Regression
We consider the fundamental problem of ReLU regression, where the goal i...
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02/13/2019