Aryeh Kontorovich
44 papers · 2013–2025 · 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 13 separate collaboration groups - the largest holds only 36% of them. Pick the group below that matches the researcher you mean. How a shared name is split.
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Which Aryeh Kontorovich?
4 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 Steve Hanneke, Idan Attias, Menachem Sadigurschi
10 papers
· 2019–2024
· ALT, ICML, JMLR
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Agnostic Sample Compression Schemes for Regression
ICML 2024
Efficient Agnostic Learning with Average Smoothness
ALT 2024
Fat-Shattering Dimension of k-fold Aggregations
JMLR 2024
Near-optimal learning with average Hölder smoothness
NeurIPS 2023
Adaptive Data Analysis with Correlated Observations
ICML 2022
Improved Generalization Bounds for Adversarially Robust Learning
JMLR 2022
Stable Sample Compression Schemes: New Applications and an Optimal SVM Margin Bound
ALT 2021
A Sharp Lower Bound for Agnostic Learning with Sample Compression Schemes
ALT 2019
Improved Generalization Bounds for Robust Learning
ALT 2019
Sample Compression for Real-Valued Learners
ALT 2019
9 papers whose co-authors appear nowhere else under this name
Distribution Estimation under the Infinity Norm
JMLR 2025
Sharp bounds on aggregate expert error
ALT 2025
Learning with metric losses
COLT 2022
Algorithmic Learning Theory 2020: Preface
ALT 2020
Fast and Bayes-consistent nearest neighbors
AISTATS 2020
Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path
NeurIPS 2015
Concentration in unbounded metric spaces and algorithmic stability
ICML 2014
On the Learnability of Shuffle Ideals
JMLR 2013
Predictive PAC Learning and Process Decompositions
NeurIPS 2013