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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with Lee-Ad Gottlieb, Pinhas Nisnevitch, Eran Kaufman
7 papers
· 2014–2024
· JMLR, AISTATS, NeurIPS
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Functions with average smoothness: structure, algorithms, and learning
JMLR 2024
Functions with average smoothness: structure, algorithms, and learning
COLT 2021
Nested Barycentric Coordinate System as an Explicit Feature Map
AISTATS 2021
Learning convex polytopes with margin
NeurIPS 2018
Nearly optimal classification for semimetrics
JMLR 2017
Nearly Optimal Classification for Semimetrics
AISTATS 2016
Near-optimal sample compression for nearest neighbors
NeurIPS 2014
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