Kai Li

Artificial Intelligence · with Cheng · 2017

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

Whom Kai Li trusts

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

  1. Matthew D. Zeiler (in Artificial Intelligence)
  2. Rainer Dahlhaus (in Artificial Intelligence)
  3. Suchi Saria (in Artificial Intelligence)
  4. Peter F. Schulam (in Artificial Intelligence)

Papers from Kai Li's perspective

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

  1. Learning representations by back-propagating errors
  2. Scikit-learn: Machine Learning in Python
  3. Multi-task Gaussian Process Prediction
  4. Semiparametric latent factor models
  5. ADADELTA: An Adaptive Learning Rate Method
  6. The horseshoe estimator for sparse signals
  7. Computationally Efficient Convolved Multiple Output Gaussian Processes
  8. Shrink Globally, Act Locally: Sparse Bayesian Regularization and Prediction
  9. A Framework for Individualizing Predictions of Disease Trajectories by Exploiting Multi-Resolution Structure
  10. MIMIC-III, a freely accessible critical care database

Their papers