activity
20072026
most citedConcentration in unbounded metric spaces and algorithmic stability

40 citations · 192 across the 64 of their papers we have counts for

collaborators

78 papers

math.PR2026

Total Variation Distance between Product Distributions: an Analytic Proxy

Ariel Avital, Aryeh Kontorovich, Roman Vershynin +1

We characterize, up to universal constants, the total variation distance between finite products of arbitrary probability measures by a simple formula. A theorem of Latala reduces…

stat.ML2026

Sharp margin-based generalization bounds for realizable SVM

Steve Hanneke, Aryeh Kontorovich

Let the exact homogeneous hard-margin support vector machine be trained on \(m\) independent observations from a Borel probability law on a real Hilbert space. We prove that, with…

stat.ML2026

Improved Distribution Estimation in

Doron Cohen, Aryeh Kontorovich, Yonatan Livshitz

We present improved bounds for estimating discrete probability distributions under the norm. These include minimax bounds in expectation and high-probability tail bou…

cs.LG2026

A Fine-Grained Understanding of Uniform Convergence for Halfspaces

Aryeh Kontorovich, Kasper Green Larsen

We study the fine-grained uniform convergence behavior of halfspaces beyond worst-case VC bounds. For inhomogeneous halfspaces in with , we show that standar…

cs.LG2026

Realizable Bayes-Consistency for General Metric Losses

Dan Tsir Cohen, Steve Hanneke, Aryeh Kontorovich

We study strong universal Bayes-consistency in the realizable setting for learning with general metric losses, extending classical characterizations beyond - classification (…

math.PR2026

A homogenization principle for total variation

Aryeh Kontorovich

A homogenization principle for total variation We prove an inequality comparing the variational distance between pairs of product probability measures to its homogenized counterpar…