Markus Reiß
Finance · with Bibinger · 2002–2016
A researcher in the Science corpus: 13 papers; trusts 68 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Finance — 67 citations into it; #1,479 of 10,518 by trust here, #2,723 by citations
- Statistics and Probability — 57 citations into it; #2,261 of 12,932 by trust here, #3,609 by citations
- Economics and Econometrics — 37 citations into it; #6,863 of 23,481 by trust here, #18,597 by citations
- Artificial Intelligence — 20 citations into it; #12,494 of 35,345 by trust here, #30,347 by citations
- Mathematical Physics — 20 citations into it; #2,642 of 8,562 by trust here, #3,181 by citations
- Management Science and Operations Research — 15 citations into it; #3,078 of 11,946 by trust here, #4,430 by citations
- Applied Mathematics — 9 citations into it
- Statistical Learning Theory — 9 citations into it
Whom Markus Reiß trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Arnaud Gloter
- Jean Jacod
- C. Stone
- Vladimir Koltchinskii
- Ion Grama
- Ole E. Barndorff-Nielsen
- Mark Podolskij
- Arnak S. Dalalyan
- Peter C. Kiessler
- Lan Zhang
Who trusts Markus Reiß overall
- Markus Bibinger
- Laëtitia Comminges
- Minjing Tao
- Richard Nickl
- Anatoli B. Juditsky
- Jean Jacod
- Fabienne Comte
- Arnak S. Dalalyan
- Denis Belomestny
- L. Winkelmann
Papers from Markus Reiß's perspective
Ordered by how strongly the researchers Markus Reiß 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
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Learning Multiple Layers of Features from Tiny Images
- Gradient-based learning applied to document recognition
- Long Short-Term Memory
- Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
- Attention is All you Need (Neural Information Processing Systems)
- ImageNet: A large-scale hierarchical image database
Their papers
- Asymptotic equivalence for nonparametric regression with multivariate and random design (2006) — 112 citations
- Nonlinear estimation for linear inverse problems with error in the operator (2008) — 107 citations
- Asymptotic statistical equivalence for ergodic diffusions: the multidimensional case (2005) — 81 citations
- Nonparametric estimation of scalar diffusions based on low frequency data (2002) — 135 citations
- Estimating the Quadratic Covariation Matrix from Noisy Observations: Local Method of Moments and Efficiency (2013) — 104 citations
- Asymptotic equivalence for inference on the volatility from noisy observations (2011) — 98 citations
- Nonparametric estimation for L\'evy processes from low-frequency observations (2007) — 156 citations
- Estimation of the characteristics of a Lévy process observed at arbitrary frequency (2010) — 89 citations
- A remark on the rates of convergence for integrated volatility estimation in the presence of jumps (2012) — 50 citations
- Nonasymptotic upper bounds for the reconstruction error of PCA (2016) — 70 citations
- Estimating the Spot Covariation of Asset Prices—Statistical Theory and Empirical Evidence (2014) — 57 citations
- A Donsker Theorem for Lévy Measures (2012) — 97 citations
- Asymptotic statistical equivalence for scalar ergodic diffusions (2006) — 52 citations