Hugh A. Chipman

Statistics and Probability · 1995–2008

A researcher in the Science corpus: 7 papers; trusts 34 researchers and is trusted by 103 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 31 citations into it; #699 of 12,932 by trust here, #840 by citations
• Probabilistic & Bayesian Methods — 16 citations into it; #193 of 1,525 by trust here, #194 by citations
• Artificial Intelligence — 15 citations into it; #2,814 of 35,345 by trust here, #5,495 by citations
• Statistical Learning Theory — 12 citations into it; #377 of 1,038 by trust here, #405 by citations
• Optimization & Training — 6 citations into it; #1,533 of 2,601 by trust here, #1,661 by citations
• Evaluation & Benchmarks — 5 citations into it

Whom Hugh A. Chipman trusts overall

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

1. Jerome H. Friedman
2. Leo Breiman
3. Peter J. Green
4. William N. Venables
5. Trevor J. Hastie
6. Edward I. George
7. J. Ross Quinlan
8. Eric R. Ziegel
9. Radford M. Neal
10. R. Dennis Cook

Who trusts Hugh A. Chipman overall

1. Cynthia Rudin
2. Robert B. Gramacy
3. Wei-Yin Loh
4. Susan Athey
5. Benjamin Letham
6. Matt Taddy
7. Charles Blundell
8. Jennifer L. Hill
9. Edward I. George
10. Stefan Wager

Papers from Hugh A. Chipman's perspective

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

1. Generalized Linear Models
2. Regression Shrinkage and Selection via the Lasso
3. Estimating the Dimension of a Model
4. ImageNet classification with deep convolutional neural networks
5. The Nature of Statistical Learning Theory
6. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
7. Gradient-based learning applied to document recognition
8. Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Experiments with a New Boosting Algorithm

Their papers

• BART: Bayesian Additive Regression Trees (2008) — 2,052 citations
• The Practical Implementation of Bayesian Model Selection (2001) — 491 citations
• Bayesian Treed Models (2002) — 221 citations
• Bayesian Additive Regression Trees (2006) — 133 citations
• Bayesian Treed Generalized Linear Models (2003) — 22 citations
• Bayesian CART Model Search (1998)
• Bayesian variable selection with related predictors (1995)