Holger Hofling
Statistics and Probability · 2007–2009
A researcher in the Science corpus: 2 papers; trusts 17 researchers and is trusted by 91 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 14 citations into it; #600 of 12,932 by trust here, #715 by citations
- Artificial Intelligence — 6 citations into it; #10,264 of 35,345 by trust here, #25,040 by citations
- Control and Systems Engineering — 6 citations into it
- Optimization & Training — 6 citations into it
Whom Holger Hofling trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Bernhard Schölkopf
- Julian Besag
- Robert Tibshirani
- Jerome H. Friedman
- Nicolai Meinshausen
- Ming Yuan
- D. R. Cox
- Trevor J. Hastie
- Su-In Lee
- John C. Platt
Who trusts Holger Hofling overall
- Mathias Drton
- Jianqing Fan
- Robert Tibshirani
- Mark W. Schmidt
- Trevor J. Hastie
- Florian Ziel
- Yves F. Atchadé
- Rina Foygel
- Jian Zhou
- Jian Huang
Papers from Holger Hofling's perspective
Ordered by how strongly the researchers Holger Hofling trusts endorse each paper. Same corpus, a different order for every researcher.
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Regression Shrinkage and Selection via the Lasso
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Long Short-Term Memory
- ImageNet: A large-scale hierarchical image database
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- Learning Multiple Layers of Features from Tiny Images
Their papers
- PATHWISE COORDINATE OPTIMIZATION (2007) — 2,107 citations
- Estimation of Sparse Binary Pairwise Markov Networks using Pseudo-likelihoods (2009) — 199 citations