Eran Malach
28 papers · 2017–2025 · 6 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 7 separate collaboration groups - the largest holds only 43% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Eran Malach?
3 groups of papers that share co-authors internally but none with each other - each most likely a different researcher. Pick one to see its papers.
with Shai Shalev-shwartz, Alon Brutzkus, Shai Shalev-Schwartz
12 papers
· 2017–2022
· NeurIPS, ICML, ICLR
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Efficient Learning of CNNs using Patch Based Features
ICML 2022
Knowledge Distillation: Bad Models Can Be Good Role Models
NeurIPS 2022
When Hardness of Approximation Meets Hardness of Learning
JMLR 2022
Computational Separation Between Convolutional and Fully-Connected Networks
ICLR 2021
The Connection Between Approximation, Depth Separation and Learnability in Neural Networks
COLT 2021
ID3 Learns Juntas for Smoothed Product Distributions
COLT 2020
Learning Parities with Neural Networks
NeurIPS 2020
Proving the Lottery Ticket Hypothesis: Pruning is All You Need
ICML 2020
The Implications of Local Correlation on Learning Some Deep Functions
NeurIPS 2020
Is Deeper Better only when Shallow is Good?
NeurIPS 2019
SGD Learns Over-parameterized Networks that Provably Generalize on Linearly Separable Data
ICLR 2018
Decoupling "when to update" from "how to update"
NeurIPS 2017
4 papers whose co-authors appear nowhere else under this name
DON’T STOP ME NOW: EMBEDDING BASED SCHEDULING FOR LLMS
ICLR 2025
The Power of Random Features and the Limits of Distribution-Free Gradient Descent
ICML 2025
Auto-Regressive Next-Token Predictors are Universal Learners
ICML 2024
On the Power of Decision Trees in Auto-Regressive Language Modeling
NeurIPS 2024