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.
Achievements are not shown for a combined profile - each one describes a single researcher's record, which this is not.
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 Doron Cohen, Roi Weiss, Geoffrey Wolfer
16 papers
· 2013–2025
· COLT, NeurIPS, ICML
Hide ▲
The Empirical Mean is Minimax Optimal for Local Glivenko-Cantelli
ICML 2025
Correlated Binomial Process
COLT 2024
Local Glivenko-Cantelli
COLT 2023
Open problem: log(n) factor in "Local Glivenko-Cantelli"
COLT 2023
Dimension-free empirical entropy estimation
NeurIPS 2021
Learning discrete distributions with infinite support
NeurIPS 2020
Minimax Testing of Identity to a Reference Ergodic Markov Chain
AISTATS 2020
Estimating the Mixing Time of Ergodic Markov Chains
COLT 2019
Minimax Learning of Ergodic Markov Chains
ALT 2019
Temporal Anomaly Detection: Calibrating the Surprise
AAAI 2019
Active Nearest-Neighbor Learning in Metric Spaces
JMLR 2018
Nearest-Neighbor Sample Compression: Efficiency, Consistency, Infinite Dimensions
NeurIPS 2017
Active Nearest-Neighbor Learning in Metric Spaces
NeurIPS 2016
A Bayes consistent 1-NN classifier
AISTATS 2015
Maximum Margin Multiclass Nearest Neighbors
ICML 2014
On learning parametric-output HMMs
ICML 2013
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