Bo Li

Causal Inference & Discovery · with Athey · 2018

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

Subfields

Whom Bo Li trusts

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

  1. José R. Zubizarreta (in Statistics and Probability)

Papers from Bo Li's perspective

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

  1. Greedy Layer-Wise Training of Deep Networks
  2. Regularization of Neural Networks using DropConnect
  3. Toward a perception-based theory of probabilistic reasoning with imprecise probabilities
  4. The central role of the propensity score in observational studies for causal effects
  5. Discriminative Learning Under Covariate Shift
  6. Direct Importance Estimation with Model Selection and Its Application to Covariate Shift Adaptation
  7. Domain Generalization via Invariant Feature Representation
  8. Causal inference by using invariant prediction: identification and confidence intervals
  9. ImageNet classification with deep convolutional neural networks
  10. Approximate residual balancing: debiased inference of average treatment effects in high dimensions

Their papers