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Vladimir A. Kobzar

NYU Center for Data Science

4 papers hereh-index 488 citations11 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author4

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.LG3
  • cs.DS1
affiliations
  • NYU Center for Data Science
HomepageORCID 0000-0002-9527-7031
same name
  • Vladimir A. Kobzar — 3 papers, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20192023
most citedNew Potential-Based Bounds for Prediction with Expert Advice

4 citations · 7 across the 4 of their papers we have counts for

collaborators

4 papers

cs.DS2023

Revisiting Block-Diagonal SDP Relaxations for the Clique Number of the Paley Graphs

Vladimir A. Kobzar, Krishnan Mody

This work addresses the block-diagonal semidefinite program (SDP) relaxations for the clique number of the Paley graphs. The size of the maximal clique (clique number) of a graph i…

cs.LG2022

A PDE-Based Analysis of the Symmetric Two-Armed Bernoulli Bandit

Vladimir A. Kobzar, Robert V. Kohn

This work addresses a version of the two-armed Bernoulli bandit problem where the sum of the means of the arms is one (the symmetric two-armed Bernoulli bandit). In a regime where…

cs.LG2019★ 3 cited

New Potential-Based Bounds for the Geometric-Stopping Version of Prediction with Expert Advice

Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang

This work addresses the classic machine learning problem of online prediction with expert advice. A new potential-based framework for the fixed horizon version of this problem has…

cs.LG2019★ 4 cited

New Potential-Based Bounds for Prediction with Expert Advice

Vladimir A. Kobzar, Robert V. Kohn, Zhilei Wang

This work addresses the classic machine learning problem of online prediction with expert advice. We consider the finite-horizon version of this zero-sum, two-person game. Using ve…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.