Mor Shpigel Nacson
12 papers · 2018–2025 · 5 venues · across top CS/AI venues
Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.
Achievements
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π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Bronze πΊοΈ Taxonomy Completionist (15) π£ Hot Topic Early Bird π Academic Marathon Β· Sprint
π€
Dynamic Duo
(11)
β
The Questioner
π₯
Unstoppable Β· Bronze
π
Century Club Β· Bronze
π
Conference Pioneer
Venues
Top co-authors
Research topics
Machine Learning
(11)
Optimization & Theory Β· Machine Learning
(11)
Deep Learning
(9)
Optimization & Theory Β· Deep Learning
(6)
Architectures
(2)
Core Methods
(2)
Techniques
(2)
Artificial Intelligence
(1)
Computer Vision
(1)
Mathematics & Optimization
(1)
Core AI
(1)
Learning Types
(1)
Optimization
(1)
Processing
(1)
Keywords
gradient descent
(7)
implicit bia
(5)
separable data
(4)
stochastic gradient descent
(3)
logistic loss
(2)
logistic regression
(2)
convergence rate
(2)
dynamical stability
(2)
implicit regularization
(2)
gradient flow
(2)
deep learning
(1)
maximum margin
(1)
margin maximization
(1)
generalization
(1)
sample complexity
(1)
sparse regression
(1)
convergence analysis
(1)
inductive bia
(1)
loss landscape
(1)
learning rate
(1)
Papers
DocVLM: Make Your VLM an Efficient Reader
CVPR 2025
How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers
ICML 2024
Gradient Descent Monotonically Decreases the Sharpness of Gradient Flow Solutions in Scalar Networks and Beyond
ICML 2023
The Implicit Bias of Minima Stability in Multivariate Shallow ReLU Networks
ICLR 2023
Implicit Bias of the Step Size in Linear Diagonal Neural Networks
ICML 2022
On the Implicit Bias of Initialization Shape: Beyond Infinitesimal Mirror Descent
ICML 2021
At Stability's Edge: How to Adjust Hyperparameters to Preserve Minima Selection in Asynchronous Training of Neural Networks?
ICLR 2020
Convergence of Gradient Descent on Separable Data
AISTATS 2019
Lexicographic and Depth-Sensitive Margins in Homogeneous and Non-Homogeneous Deep Models
ICML 2019
Stochastic Gradient Descent on Separable Data: Exact Convergence with a Fixed Learning Rate
AISTATS 2019
The Implicit Bias of Gradient Descent on Separable Data
ICLR 2018
The Implicit Bias of Gradient Descent on Separable Data
JMLR 2018