Gal Kaplun
7 papers · 2019–2024 · 3 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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🌍
Conference Polyglot · Bronze
🏃
Academic Marathon · Sprint
🌉
Interdisciplinary Bridge · Bronze
🗺️
Taxonomy Completionist
(19)
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory · Machine Learning
(5)
Learning Types
(3)
Deep Learning
(2)
Mathematics & Optimization
(2)
Application Areas
(2)
Core Methods
(2)
Optimization
(2)
Artificial Intelligence
(1)
Learning Paradigms
(1)
Mathematics
(1)
Optimization & Theory · Deep Learning
(1)
Techniques
(1)
Keywords
overparameterized regime
(2)
learning theory
(1)
double descent
(1)
stochastic gradient descent
(1)
robust optimization
(1)
online learning
(1)
self-supervised learning
(1)
knowledge distillation
(1)
mutual information
(1)
influence maximization
(1)
linear classifier
(1)
social network
(1)
bayes optimal classifier
(1)
implicit bia
(1)
data distribution
(1)
generalization gap
(1)
student network
(1)
conditional sampling
(1)
kernel machine
(1)
gradient step
(1)
Papers
Beyond Implicit Bias: The Insignificance of SGD Noise in Online Learning
ICML 2024
Deconstructing Distributions: A Pointwise Framework of Learning
ICLR 2023
Knowledge Distillation: Bad Models Can Be Good Role Models
NeurIPS 2022
For self-supervised learning, Rationality implies generalization, provably
ICLR 2021
Deep Double Descent: Where Bigger Models and More Data Hurt
ICLR 2020
Robust Influence Maximization for Hyperparametric Models
ICML 2019
SGD on Neural Networks Learns Functions of Increasing Complexity
NeurIPS 2019