Mengdi Huai

Statistics and Probability · 2018

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Statistics and Probability — 17 citations into it
• Causal Inference & Discovery — 12 citations into it
• Artificial Intelligence — 8 citations into it

Whom Mengdi Huai trusts overall

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

1. Donald B. Rubin
2. Jennifer L. Hill
3. Uri Shalit

Papers from Mengdi Huai's perspective

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

1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
2. Estimating causal effects of treatments in randomized and nonrandomized studies.
3. The central role of the propensity score in observational studies for causal effects
4. [On the Application of Probability Theory to Agricultural Experiments. Essay on Principles. Section 9.] Comment: Neyman (1923) and Causal Inference in Experiments and Observational Studies
5. Estimation and Inference of Heterogeneous Treatment Effects using Random Forests
6. Bayesian Nonparametric Modeling for Causal Inference
7. Learning Representations for Counterfactual Inference
8. Doubly Robust Policy Evaluation and Learning
9. Causality
10. Estimating individual treatment effect: generalization bounds and algorithms

Their papers

• Representation Learning for Treatment Effect Estimation from Observational Data (2018) — 348 citations