Assaf Schuster
8 papers · 2020–2025 · 4 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🏃 Academic Marathon · Sprint 🌉 Interdisciplinary Bridge · Silver 🗺️ Taxonomy Completionist (20) 🐣 Hot Topic Early Bird
🔥
Unstoppable · Bronze
Venues
Top co-authors
Research topics
Machine Learning
(7)
Optimization & Theory
(7)
Mathematics & Optimization
(4)
Deep Learning
(2)
Core Methods
(2)
Mathematics
(2)
Optimization
(2)
Artificial Intelligence
(1)
Computer Science
(1)
Knowledge & Reasoning
(1)
Application Areas
(1)
Architectures
(1)
Foundations
(1)
Learning Paradigms
(1)
Learning Types
(1)
Keywords
neural network
(2)
binary classification
(1)
memory efficiency
(1)
universal approximation
(1)
distributed learning
(1)
computational complexity
(1)
gradient descent
(1)
stochastic convex optimization
(1)
parallel optimization
(1)
second-order optimization
(1)
online algorithm
(1)
optimization algorithm
(1)
convergence rate
(1)
convex hull
(1)
sample complexity
(1)
asynchronous training
(1)
approximation theory
(1)
activation function
(1)
training data
(1)
stochastic gradient descent
(1)
Papers
CompAct: Compressed Activations for Memory-Efficient LLM Training
NAACL 2025
DNCs Require More Planning Steps
ICML 2024
FOSI: Hybrid First and Second Order Optimization
ICLR 2024
Probabilistic Invariant Learning with Randomized Linear Classifiers
NeurIPS 2023
Coin Flipping Neural Networks
ICML 2022
Asynchronous Distributed Learning : Adapting to Gradient Delays without Prior Knowledge
ICML 2021
Gap-Aware Mitigation of Gradient Staleness
ICLR 2020
It’s Not What Machines Can Learn, It’s What We Cannot Teach
ICML 2020