Sangwoon Yun
Computational Mechanics · 2008–2013
A researcher in the Science corpus: 4 papers; trusts 61 researchers and is trusted by 109 researchers here, as inferred from the citation graph.
Subfields
- Computational Mechanics — 26 citations into it; #209 of 10,001 by trust here, #1,122 by citations
- Optimization & Training — 26 citations into it; #1,384 of 2,601 by trust here, #2,519 by citations
- Computer Vision and Pattern Recognition — 16 citations into it
- Numerical Analysis — 16 citations into it; #49 of 3,586 by trust here, #181 by citations
- Mathematical Optimization — 14 citations into it
- Artificial Intelligence — 13 citations into it; #6,291 of 35,345 by trust here, #21,878 by citations
- Statistics and Probability — 11 citations into it
- Computational Theory and Mathematics — 8 citations into it; #257 of 12,182 by trust here, #1,379 by citations
Whom Sangwoon Yun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Yurii E. Nesterov
- Paul Tseng
- E.J. Candes
- David L. Donoho
- Dimitri P. Bertsekas
- Scott Shaobing Chen
- Ming Yuan
- Robert Tibshirani
- Zhi-Quan Tom Luo
- Lukas Meier
Who trusts Sangwoon Yun overall
- Paul Tseng
- Jun Liu
- Yangyang Xu
- Ting Kei Pong
- Francis R. Bach
- Zhaosong Lu
- Ilya Trofimov
- Peter Richtárik
- Zhouchen Lin
- Wotao Yin
Papers from Sangwoon Yun's perspective
Ordered by how strongly the researchers Sangwoon Yun trusts endorse each paper. Same corpus, a different order for every researcher.
- Atomic Decomposition by Basis Pursuit
- Regression Shrinkage and Selection via the Lasso
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Sparse Reconstruction by Separable Approximation
- ImageNet classification with deep convolutional neural networks
- Model selection and estimation in regression with grouped variables
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- An iterative thresholding algorithm for linear inverse problems with a sparsity constraint
- Gradient-based learning applied to document recognition
- A Singular Value Thresholding Algorithm for Matrix Completion
Their papers
- Block-Coordinate Gradient Descent Method for Linearly Constrained Nonsmooth Separable Optimization (2009) — 172 citations
- A coordinate gradient descent method for nonsmooth separable minimization (2008) — 845 citations
- Incrementally Updated Gradient Methods for Constrained and Regularized Optimization (2013) — 34 citations
- An accelerated proximal gradient algorithm for nuclear norm regularized linear least squares problems (2009) — 999 citations