Brutzkus, Alon

11 publications

ICML 2024 How Uniform Random Weights Induce Non-Uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson, Alon Brutzkus, Nathan Srebro, Daniel Soudry

ICML 2022 Efficient Learning of CNNs Using Patch Based Features Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Schwartz

UAI 2022 On the Inductive Bias of Neural Networks for Learning Read-Once DNFs Ido Bronstein, Alon Brutzkus, Amir Globerson

NeurIPS 2021 A Theoretical Analysis of Fine-Tuning with Linear Teachers Gal Shachaf, Alon Brutzkus, Amir Globerson

UAI 2021 An Optimization and Generalization Analysis for Max-Pooling Networks Alon Brutzkus, Amir Globerson

ICML 2021 Towards Understanding Learning in Neural Networks with Linear Teachers Roei Sarussi, Alon Brutzkus, Amir Globerson

COLT 2020 ID3 Learns Juntas for Smoothed Product Distributions Alon Brutzkus, Amit Daniely, Eran Malach

ICML 2019 Low Latency Privacy Preserving Inference Alon Brutzkus, Ran Gilad-Bachrach, Oren Elisha

ICML 2019 Why Do Larger Models Generalize Better? a Theoretical Perspective via the XOR Problem Alon Brutzkus, Amir Globerson

ICLR 2018 SGD Learns Over-Parameterized Networks That Provably Generalize on Linearly Separable Data Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz

ICML 2017 Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs Alon Brutzkus, Amir Globerson