Seyoung Kim

Artificial Intelligence · with Xing · 2009

A researcher in the Science corpus: 1 paper; trusts 13 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Seyoung Kim trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Ming Yuan
  2. Bart J. Bakker
  3. Lukas Meier
  4. Andreas Argyriou
  5. Kwangmoo Koh

Papers from Seyoung Kim's perspective

Ordered by how strongly the researchers Seyoung Kim trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Model selection and estimation in regression with grouped variables
  2. The group lasso for logistic regression
  3. An Interior-Point Method for Large-Scale l1-Regularized Logistic Regression (Journal of machine learning research)
  4. Task Clustering and Gating for Bayesian Multitask Learning
  5. Convex multi-task feature learning
  6. Atomic Decomposition by Basis Pursuit
  7. Regression Shrinkage and Selection via the Lasso
  8. Addendum: Regularization and variable selection via the elastic net
  9. A new approach to variable selection in least squares problems
  10. Asymptotics for lasso-type estimators

Their papers