Lucas K. Mentch
Statistics and Probability · 2014–2021
A researcher in the Science corpus: 5 papers; trusts 55 researchers and is trusted by 15 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 64 citations into it
- Artificial Intelligence — 48 citations into it; #12,708 of 35,345 by trust here, #30,347 by citations
- Statistical Learning Theory — 19 citations into it; #403 of 1,038 by trust here, #662 by citations
- Computer Vision and Pattern Recognition — 9 citations into it
- Evaluation & Benchmarks — 9 citations into it
- Safety, Robustness & Interpretability — 9 citations into it
- Genetics — 5 citations into it
- Information Systems — 5 citations into it
Whom Lucas K. Mentch trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Leo Breiman
- Trevor J. Hastie
- Gérard Biau
- Robert Tibshirani
- Bradley Efron
- Stefan Wager
- Giles Hooker
- Vladimir Naumovich Vapnik
- Niko Speybroeck
- Leslie G. Valiant
Who trusts Lucas K. Mentch overall
- Stefan Wager
- Erwan Scornet
- Gérard Biau
- Giles Hooker
- Aaron Fisher
- Susan Athey
- Yichen Zhou
- Cynthia Rudin
- Tomislav Hengl
- Jonathan Brophy
Papers from Lucas K. Mentch's perspective
Ordered by how strongly the researchers Lucas K. Mentch trusts endorse each paper. Same corpus, a different order for every researcher.
- Regression Shrinkage and Selection via the Lasso
- ImageNet classification with deep convolutional neural networks
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- Gradient-based learning applied to document recognition
- Bagging Predictors
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- Random Forests
- Long Short-Term Memory
- The Elements of Statistical Learning
- ImageNet: A large-scale hierarchical image database
Their papers
- Forward stability and model path selection (2021) — 17 citations
- Getting Better from Worse: Augmented Bagging and a Cautionary Tale of Variable Importance (2020) — 20 citations
- Please Stop Permuting Features: An Explanation and Alternatives (2019) — 129 citations
- Quantifying Uncertainty in Random Forests via Confidence Intervals and Hypothesis Tests (2014) — 339 citations
- Ensemble Trees and CLTs: Statistical Inference for Supervised Learning (2014) — 34 citations