Alon Brutzkus
11 papers · 2017–2024 · 5 conferences · across top CS/AI conferences
Achievements
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🌍 Conference Polyglot (5) 🌉 Interdisciplinary Bridge 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🏃 Academic Marathon (7)
🌉
Interdisciplinary Bridge
🧭
Keyword Pioneer
🐣
Hot Topic Early Bird
🚀
Conference Pioneer
💎
Century Club
(11)
🔥
Unstoppable
(6)
❓
The Questioner
Conferences
ICML (6)
UAI (2)
COLT (1)
ICLR (1)
NIPS (1)
Top co-authors
Keywords
convolutional neural network
(4)
inductive bia
(2)
neural network
(2)
transfer learning
(2)
feature learning
(2)
polynomial time
(2)
gradient descent
(2)
minimum norm
(1)
linear regression
(1)
sample complexity
(1)
theoretical analysis
(1)
computational complexity
(1)
non-convex optimization
(1)
neural network optimization
(1)
gaussian distribution
(1)
generalization bound
(1)
deep learning
(1)
neural network training
(1)
gradient flow
(1)
semi-supervised learning
(1)
Papers
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
ICML 2024
Efficient Learning of CNNs using Patch Based Features
ICML 2022
On the inductive bias of neural networks for learning read-once DNFs
UAI 2022
A Theoretical Analysis of Fine-tuning with Linear Teachers
NIPS 2021
Towards Understanding Learning in Neural Networks with Linear Teachers
ICML 2021
An optimization and generalization analysis for max-pooling networks
UAI 2021
ID3 Learns Juntas for Smoothed Product Distributions
COLT 2020
Low Latency Privacy Preserving Inference
ICML 2019
Why do Larger Models Generalize Better? A Theoretical Perspective via the XOR Problem
ICML 2019
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
ICLR 2018
Globally Optimal Gradient Descent for a ConvNet with Gaussian Inputs
ICML 2017