Kayhan Behdin

Also affiliated with IIT@MIT, Massachusetts Institute of Technology

EngineeringComputer Science

Pilot corpus only

This score is computed over theSindex pilot corpus and does not cover the full scientific literature. Scores are relative to papers we have ingested — papers, authors, and institutions outside the pilot are not represented. Methodology.

Top 100%percentile

0Author DataRank

Indexed papers

0in pilot corpus

datarank_citation_only_1hop_v6· scope data_onlyMethodology

Papers

Driven by 2 papers. Top paper: “sMTL: Sparse Multi-Task Learning”.

sMTL: Sparse Multi-Task Learning

(2023)10.32614/cran.package.smtl

N/A

0DataRank · unranked

1 citations

Kayhan Behdin, Giovanni Parmigiani, Rahul Mazumder, Gabriel Loewinger

Multi-task learning for sparsity pattern heterogeneity: statistical and computational perspectives

Journal of the Royal Statistical Society Series B (Statistical Methodology)(2025)10.1093/jrsssb/qkaf076

N/A

0DataRank · unranked

0 citations

Gabriel Loewinger, Kenneth T. Kishida, Giovanni Parmigiani, Rahul Mazumder, Kayhan Behdin