Alon Brutzkus

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 21

Top Topics

Globally Optimal

Efficient Learning

Privacy Preserving

Top Venues

Publications

Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson, Alon Brutzkus, Nathan Srebro, Daniel Soudry
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers. CoRR (2024)
Alon Brutzkus, Amir Globerson, Eran Malach, Alon Regev Netser, Shai Shalev-Shwartz
Efficient Learning of CNNs using Patch Based Features. ICML (2022)
Ido Bronstein, Alon Brutzkus, Amir Globerson
On the inductive bias of neural networks for learning read-once DNFs. UAI (2022)
Alon Brutzkus, Amir Globerson
An optimization and generalization analysis for max-pooling networks. UAI (2021)
Roei Sarussi, Alon Brutzkus, Amir Globerson
Towards Understanding Learning in Neural Networks with Linear Teachers. CoRR (2021)
Roei Sarussi, Alon Brutzkus, Amir Globerson
Towards Understanding Learning in Neural Networks with Linear Teachers. ICML (2021)
Gal Shachaf, Alon Brutzkus, Amir Globerson
A Theoretical Analysis of Fine-tuning with Linear Teachers. CoRR (2021)
Gal Shachaf, Alon Brutzkus, Amir Globerson
A Theoretical Analysis of Fine-tuning with Linear Teachers. NeurIPS (2021)
Alon Brutzkus, Pinchas Akiva, Guy Amit
To Deep or Not to Deep: Comparison of Traditional and Deep Learning Models in Disease Prediction from Electronic Health Records. AMIA (2021)
Alon Brutzkus, Amir Globerson
On the Inductive Bias of a CNN for Orthogonal Patterns Distributions. CoRR (2020)
Alon Brutzkus, Amit Daniely, Eran Malach
ID3 Learns Juntas for Smoothed Product Distributions. COLT (2020)
Alon Brutzkus, Amit Daniely, Eran Malach
ID3 Learns Juntas for Smoothed Product Distributions. CoRR (2019)
Alon Brutzkus, Ran Gilad-Bachrach, Oren Elisha
Low Latency Privacy Preserving Inference. ICML (2019)
Alon Brutzkus, Amit Daniely, Eran Malach
On the Optimality of Trees Generated by ID3. CoRR (2019)
Alon Brutzkus, Amir Globerson
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem. ICML (2019)
Alon Brutzkus, Oren Elisha, Ran Gilad-Bachrach
Low Latency Privacy Preserving Inference. CoRR (2018)
Alon Brutzkus, Amir Globerson
Over-parameterization Improves Generalization in the XOR Detection Problem. CoRR (2018)
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. ICLR (Poster) (2018)
Alon Brutzkus, Amir Globerson
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs. ICML (2017)
Alon Brutzkus, Amir Globerson
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs. CoRR (2017)
Alon Brutzkus, Amir Globerson, Eran Malach, Shai Shalev-Shwartz
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data. CoRR (2017)
Gilad Braunschvig, Alon Brutzkus, David Peleg, Adam Sealfon
Truth tellers and liars with fewer questions. Discret. Math. 338 (8) (2015)