Alon Brutzkus
Alon Brutzkus
mail.tau.ac.il의 이메일 확인됨
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Globally optimal gradient descent for a convnet with gaussian inputs
A Brutzkus, A Globerson
International conference on machine learning, 605-614, 2017
2592017
SGD learns over-parameterized networks that provably generalize on linearly separable data
A Brutzkus, A Globerson, E Malach, S Shalev-Shwartz
arXiv preprint arXiv:1710.10174, 2017
1892017
Low latency privacy preserving inference
A Brutzkus, R Gilad-Bachrach, O Elisha
International Conference on Machine Learning, 812-821, 2019
722019
Why do larger models generalize better? A theoretical perspective via the XOR problem
A Brutzkus, A Globerson
International Conference on Machine Learning, 822-830, 2019
29*2019
Id3 learns juntas for smoothed product distributions
A Brutzkus, A Daniely, E Malach
Conference on Learning Theory, 902-915, 2020
112020
On the optimality of trees generated by id3
A Brutzkus, A Daniely, E Malach
arXiv preprint arXiv:1907.05444, 2019
82019
An Optimization and Generalization Analysis for Max-Pooling Networks
A Brutzkus, A Globerson
arXiv preprint arXiv:2002.09781, 2020
2*2020
Detecting domain name system (DNS) tunneling based on DNS logs and network data
A Brutzkus, R Levin
US Patent 10,412,107, 2019
12019
A Theoretical Analysis of Fine-tuning with Linear Teachers
G Shachaf, A Brutzkus, A Globerson
arXiv preprint arXiv:2107.01641, 2021
2021
Towards Understanding Learning in Neural Networks with Linear Teachers
R Sarussi, A Brutzkus, A Globerson
arXiv preprint arXiv:2101.02533, 2021
2021
Truth tellers and liars with fewer questions
G Braunschvig, A Brutzkus, D Peleg, A Sealfon
Discrete Mathematics 338 (8), 1310-1316, 2015
2015
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