David A. Hirshberg
Statistics and Probability · 2011–2021
A researcher in the Science corpus: 6 papers; trusts 91 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Statistics and Probability — 149 citations into it; #2,339 of 12,932 by trust here, #3,255 by citations
- Economics and Econometrics — 37 citations into it
- Statistical Learning Theory — 36 citations into it
- Causal Inference & Discovery — 27 citations into it; #133 of 364 by trust here, #249 by citations
- Artificial Intelligence — 24 citations into it
- Management Science and Operations Research — 17 citations into it
- Computer Vision and Pattern Recognition — 14 citations into it; #15,835 of 21,575 by trust here, #14,478 by citations
- Computational Mechanics — 11 citations into it; #7,272 of 10,001 by trust here, #5,157 by citations
Whom David A. Hirshberg trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Victor Chernozhukov
- James M. Robins
- Guido W. Imbens
- Whitney K. Newey
- Susan Athey
- Peter L. Bartlett
- Robert Tibshirani
- Donald B. Rubin
- Max H. Farrell
- Stefan Wager
Who trusts David A. Hirshberg overall
- José R. Zubizarreta
- Dominik Rothenhausler
- Susan Athey
- Yixin Wang
- Victor Chernozhukov
- Bin Yu
- Stefan Wager
- Eli Ben-Michael
- Whitney K. Newey
- Guido W. Imbens
Papers from David A. Hirshberg's perspective
Ordered by how strongly the researchers David A. Hirshberg 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)
- The Nature of Statistical Learning Theory
- Gradient-based learning applied to document recognition
- Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
- SIMULTANEOUS ANALYSIS OF LASSO AND DANTZIG SELECTOR
- Estimating causal effects of treatments in randomized and nonrandomized studies.
- The central role of the propensity score in observational studies for causal effects
- Learning Multiple Layers of Features from Tiny Images
Their papers
- Home 3D body scans from noisy image and range data (2011) — 343 citations
- Balancing Out Regression Error: Efficient Treatment Effect Estimation without Smooth Propensities (2017) — 32 citations
- Debiased Inference of Average Partial Effects in Single-Index Models (2018) — 15 citations
- Augmented minimax linear estimation (2017) — 129 citations
- Synthetic Difference In Differences (2018) — 1,169 citations
- The Balancing Act in Causal Inference (2021) — 72 citations