Shai Ben-David
31 papers · 2002–2026 · 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 11 separate collaboration groups - the largest holds only 42% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Shai Ben-David?
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 Ruth Urner, Tosca Lechner, Nivasini Ananthakrishnan
13 papers
· 2013–2026
· COLT, ALT, NeurIPS
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No Scale Sensitive Dimension for Distribution Learning
ALT 2026
Inherent limitations of dimensions for characterizing learnability of distribution classes
COLT 2024
Distribution Learnability and Robustness
NeurIPS 2023
Private Distribution Learning with Public Data: The View from Sample Compression
NeurIPS 2023
Strategic Classification with Unknown User Manipulations
ICML 2023
Identifying regions of trusted predictions
UAI 2021
Open Problem: Are all VC-classes CPAC learnable?
COLT 2021
On Learnability wih Computable Learners
ALT 2020
When can unlabeled data improve the learning rate?
COLT 2019
Hierarchical Label Queries with Data-Dependent Partitions
COLT 2015
The sample complexity of agnostic learning under deterministic labels
COLT 2014
Monochromatic Bi-Clustering
ICML 2013
PLAL: Cluster-based active learning
COLT 2013
8 papers whose co-authors appear nowhere else under this name
A Novel Data-Dependent Learning Paradigm for Large Hypothesis Classes
ALT 2026
On Computable Online Learning
ALT 2023
Empirical Risk Minimization Under Fairness Constraints
NeurIPS 2018
Multi-task {K}ernel {L}earning Based on {P}robabilistic {L}ipschitzness
ALT 2018
Clustering in the Presence of Background Noise
ICML 2014
Analysis of Representations for Domain Adaptation
NeurIPS 2006
Learning Low Density Separators
AISTATS 2005
Limitations of Learning Via Embeddings in Euclidean Half Spaces
JMLR 2002