Christopher R. Cox
Statistics and Probability · 2013
A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 6 citations into it
Whom Christopher R. Cox trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Guillaume Obozinski
- Laurent Jacob
- Ming Yuan
- Robert Tibshirani
- Francis R. Bach
- Rodolphe Jenatton
- Sahand N. Negahban
- Karim Lounici
- Srikanth Ryali
Papers from Christopher R. Cox's perspective
Ordered by how strongly the researchers Christopher R. Cox trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Model selection and estimation in regression with grouped variables
- Proximal Methods for Hierarchical Sparse Coding (Journal of machine learning research)
- Group lasso with overlap and graph lasso
- Taking Advantage of Sparsity in Multi-Task Learning
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- A unified framework for high-dimensional analysis of $M$-estimators with decomposable regularizers
- Exclusive Lasso for Multi-task Feature Selection
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition