Amit Daniely
36 papers · 2011–2025 · 7 venues · across top CS/AI venues
This profile combines several different researchers. Authors are keyed by name, and this name's papers fall into 16 separate collaboration groups - the largest holds only 28% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Amit Daniely?
7 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, Sivan Sabato, Nati Linial
10 papers
· 2011–2020
· COLT, NeurIPS, ALT
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Distribution Free Learning with Local Queries
ALT 2020
The Implicit Bias of Depth: How Incremental Learning Drives Generalization
ICLR 2020
Complexity Theoretic Limitations on Learning DNF’s
COLT 2016
Multiclass Learnability and the ERM Principle
JMLR 2015
Strongly Adaptive Online Learning
ICML 2015
Optimal learners for multiclass problems
COLT 2014
The Complexity of Learning Halfspaces using Generalized Linear Methods
COLT 2014
More data speeds up training time in learning halfspaces over sparse vectors
NeurIPS 2013
Multiclass Learning Approaches: A Theoretical Comparison with Implications
NeurIPS 2012
Multiclass Learnability and the ERM principle
COLT 2011
9 papers whose co-authors appear nowhere else under this name
Existence of Adversarial Examples for Random Convolutional Networks via Isoperimetric Inequalities on SO(d)
COLT 2025
Most ReLU Networks Suffer from ℓ^2 Adversarial Perturbations
NeurIPS 2020
Neural Networks Learning and Memorization with (almost) no Over-Parameterization
NeurIPS 2020
Learning Rules-First Classifiers
AISTATS 2019
Depth Separation for Neural Networks
COLT 2017
SGD Learns the Conjugate Kernel Class of the Network
NeurIPS 2017
Toward Deeper Understanding of Neural Networks: The Power of Initialization and a Dual View on Expressivity
NeurIPS 2016
A PTAS for Agnostically Learning Halfspaces
COLT 2015
The price of bandit information in multiclass online classification
COLT 2013