Dominic Edelmann
Statistics and Probability · 2012–2021
A researcher in the Science corpus: 3 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 35 citations into it
- Finance — 17 citations into it
- Economics and Econometrics — 10 citations into it
- Statistical Learning Theory — 6 citations into it
- Molecular Biology — 5 citations into it
Whom Dominic Edelmann trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- G'abor J. Sz'ekely
- Arnold J. Stromberg
- Maria L. Rizzo
- Arthur Gretton
- Jianqing Fan
- Michael R. Kosorok
- Dino Sejdinovic
- Xiaofeng Shao
- Kenji Fukumizu
- Bharath K. Sriperumbudur
Who trusts Dominic Edelmann overall
Papers from Dominic Edelmann's perspective
Ordered by how strongly the researchers Dominic Edelmann trusts endorse each paper. Same corpus, a different order for every researcher.
- A Kernel Two-Sample Test
- Sure independence screening for ultrahigh dimensional feature space
- Group invariance applications in statistics
- Equivalence of distance-based and RKHS-based statistics in hypothesis testing
- Regression Shrinkage and Selection via the Lasso
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- ImageNet classification with deep convolutional neural networks
- The Nature of Statistical Learning Theory
- Learning Multiple Layers of Features from Tiny Images
- GENERATIVE ADVERSARIAL NETS
Their papers
- The affinely invariant distance correlation (2012) — 43 citations
- On relationships between the Pearson and the distance correlation coefficients (2021) — 311 citations
- An Updated Literature Review of Distance Correlation and Its Applications to Time Series (2017) — 56 citations