Jan Ernest
Statistics and Probability · 2013–2016
A researcher in the Science corpus: 2 papers; trusts 49 researchers and is trusted by 31 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 39 citations into it; #1,942 of 12,932 by trust here, #3,411 by citations
- Artificial Intelligence — 30 citations into it
- Causal Inference & Discovery — 20 citations into it; #91 of 364 by trust here, #149 by citations
- Statistical Learning Theory — 11 citations into it
- Probabilistic & Bayesian Methods — 11 citations into it
- Computational Mechanics — 5 citations into it
- Management Science and Operations Research — 5 citations into it
Whom Jan Ernest trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Peter Buhlmann
- Jan Peters
- Sara A. van de Geer
- Peter Spirtes
- Alan Y. Chiang
- Nicolai Meinshausen
- David Maxwell Chickering
- Joris M. Mooij
- Simon N. Wood
- Christopher Meek
Who trusts Jan Ernest overall
- Diviyan Kalainathan
- Jan Peters
- Peter Buhlmann
- Xun Zheng
- Sara A. van de Geer
- Bryon Aragam
- Olivier Goudet
- Sébastien Lachapelle
- Philippe Brouillard
- Christopher Nowzohour
Papers from Jan Ernest's perspective
Ordered by how strongly the researchers Jan Ernest trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- Optimal Structure Identification With Greedy Search
- ImageNet classification with deep convolutional neural networks
- High-dimensional graphs and variable selection with the Lasso
- Causality : Models , Reasoning , and Inference
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Gradient-based learning applied to document recognition
- Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Model selection and estimation in regression with grouped variables
Their papers
- CAM: Causal Additive Models, high-dimensional order search and penalized regression (2013) — 405 citations
- Causal inference in partially linear structural equation models (2016) — 34 citations