Alon Brutzkus
According to our database1,
Alon Brutzkus
authored at least 17 papers
between 2015 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers.
Proceedings of the Forty-first International Conference on Machine Learning, 2024
2022
PhD thesis, 2022
Proceedings of the Uncertainty in Artificial Intelligence, 2022
Proceedings of the International Conference on Machine Learning, 2022
2021
Proceedings of the Thirty-Seventh Conference on Uncertainty in Artificial Intelligence, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the 38th International Conference on Machine Learning, 2021
To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records.
Proceedings of the AMIA 2021, American Medical Informatics Association Annual Symposium, San Diego, CA, USA, October 30, 2021, 2021
2020
Proceedings of the Conference on Learning Theory, 2020
2019
Proceedings of the 36th International Conference on Machine Learning, 2019
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem.
Proceedings of the 36th International Conference on Machine Learning, 2019
2018
CoRR, 2018
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data.
Proceedings of the 6th International Conference on Learning Representations, 2018
2017
Proceedings of the 34th International Conference on Machine Learning, 2017
2015