Alon Brutzkus - RankMe

24 papers A* 8A 2Misc 1Journal 11Unranked 1

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