Akos Lada

Statistics and Probability · 2016

A researcher in the Science corpus: 1 paper; trusts 19 researchers and is trusted by 1 researcher here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 14 citations into it; #12,294 of 12,932 by trust here, #11,487 by citations
• Causal Inference & Discovery — 10 citations into it
• Artificial Intelligence — 6 citations into it
• Sociology and Political Science — 5 citations into it

Whom Akos Lada trusts overall

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

1. Eric R. Ziegel
2. Joshua D. Angrist
3. Stefan Wager
4. Uri Shalit
5. Susan Athey
6. R. Caruana
7. Matt Taddy
8. Richard K. Crump
9. Guido W. Imbens
10. Xiaogang Su

Who trusts Akos Lada overall

1. Susan Athey

Papers from Akos Lada's perspective

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

1. Et al
2. The Elements of Statistical Learning
3. Multitask Learning
4. ImageNet classification with deep convolutional neural networks
5. Recursive partitioning for heterogeneous causal effects
6. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
7. A unified architecture for natural language processing: deep neural networks with multitask learning
8. Modeling Heterogeneous Treatment Effects in Survey Experiments with Bayesian Additive Regression Trees
9. Regression Shrinkage and Selection via the Lasso
10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers

• Combining observational and experimental data to find heterogeneous treatment effects (2016) — 37 citations