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Jonathan A. Kelner

29 papers hereh-index 304.3k citations74 works total

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

author position
  • sole author1
  • first author14
  • middle author13
  • last author1

Across the 29 of 29 papers where every author was matched, so the position is known.

fields
  • cs.DS15
  • cs.LG4
  • cs.CC3
  • cs.DM2
  • cs.SI1
  • math.MG1
same name
  • Jonathan A. Kelner — 1 paper, h 2

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
20092026
most citedHypercontractivity, Sum-of-Squares Proofs, and their Applications

193 citations · 274 across the 24 of their papers we have counts for

collaborators
Showing cs.LGShow all

4 papers · 1 filter

cs.LG2026

Transformers Learn Two Competing Sorting Algorithms, and Only One Length-Generalizes

Khashayar Gatmiry, Nathan W. Henry, Chloe H. Su +5

We show that two-layer transformers trained to near-zero loss on a sorting task converge to one of two mechanistically distinct solution classes depending on their initialization.…

cs.LG2023

Matrix Completion in Almost-Verification Time

Jonathan A. Kelner, Jerry Li, Allen Liu +2

We give a new framework for solving the fundamental problem of low-rank matrix completion, i.e., approximating a rank-r matrix M∈Rm×n (where $m…

cs.LG2021

On the Power of Preconditioning in Sparse Linear Regression

Jonathan Kelner, Frederic Koehler, Raghu Meka +1

Sparse linear regression is a fundamental problem in high-dimensional statistics, but strikingly little is known about how to efficiently solve it without restrictive conditions on…

cs.LG2019★ 5 cited

Learning Some Popular Gaussian Graphical Models without Condition Number Bounds

Jonathan Kelner, Frederic Koehler, Raghu Meka +1

Gaussian Graphical Models (GGMs) have wide-ranging applications in machine learning and the natural and social sciences. In most of the settings in which they are applied, the numb…

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