Guenther Walther

Statistics and Probability · 2002–2016

A researcher in the Science corpus: 7 papers; trusts 51 researchers and is trusted by 68 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 38 citations into it; #1,284 of 12,932 by trust here, #2,800 by citations
• Artificial Intelligence — 36 citations into it; #3,948 of 35,345 by trust here, #11,624 by citations
• Statistical Learning Theory — 24 citations into it; #497 of 1,038 by trust here, #662 by citations
• Computer Vision and Pattern Recognition — 10 citations into it
• Signal Processing — 8 citations into it
• Evaluation & Benchmarks — 7 citations into it
• Molecular Biology — 7 citations into it; #1,230 of 17,773 by trust here, #10,506 by citations
• Information Systems — 6 citations into it

Whom Guenther Walther trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Robert Tibshirani
2. Nicolai Meinshausen
3. Leo Breiman
4. Geoffrey J. McLachlan
5. Chris Fraley
6. Roger W. Koenker
7. W. Street
8. Andy Liaw
9. Gérard Biau
10. Vladimir Naumovich Vapnik

Who trusts Guenther Walther overall

1. Richard J. Samworth
2. Adrien Saumard
3. Yining Chen
4. Ilias Diakonikolas
5. Jon A. Wellner
6. David R. Hunter
7. Madeleine Cule
8. Susan Athey
9. Stefan Wager
10. M. Reibel

Papers from Guenther Walther's perspective

Ordered by how strongly the researchers Guenther Walther trusts endorse each paper. Same corpus, a different order for every researcher.

1. Regression Shrinkage and Selection via the Lasso
2. Bagging Predictors
3. The Elements of Statistical Learning
4. Random Forests
5. ImageNet classification with deep convolutional neural networks
6. Greedy function approximation: A gradient boosting machine.
7. Gradient-based learning applied to document recognition
8. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
9. The Nature of Statistical Learning Theory
10. Estimating the Dimension of a Model

Their papers

• Uniform Convergence of Random Forests via Adaptive Concentration (2015) — 24 citations
• Cluster Validation by Prediction Strength (2005) — 651 citations
• Detecting the Presence of Mixing with Multiscale Maximum Likelihood (2002) — 83 citations
• Forward stagewise regression and the monotone lasso (2007) — 133 citations
• Inference and Modeling with Log-concave Distributions (2009) — 118 citations
• Earth Mover’s Distance (EMD): A True Metric for Comparing Biomarker Expression Levels in Cell Populations (2016) — 118 citations
• Adaptive Concentration of Regression Trees, with Application to Random Forests (2015) — 149 citations