Yi-ting Wang

Social Science Research Network · 2015–2018

A researcher in the Science corpus: 2 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Yi-ting Wang trusts

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

  1. Andrew Gelman (in Probabilistic & Bayesian Methods)

Papers from Yi-ting Wang's perspective

Ordered by how strongly the researchers Yi-ting Wang trusts endorse each paper. Same corpus, a different order for every researcher.

  1. The No-U-turn sampler: adaptively setting path lengths in Hamiltonian Monte Carlo
  2. Monte Carlo Sampling Methods Using Markov Chains and Their Applications
  3. Stochastic Backpropagation and Approximate Inference in Deep Generative Models
  4. Information Theory, Inference, and Learning Algorithms
  5. The Variational Gaussian Process
  6. Weight Uncertainty in Neural Networks
  7. Hierarchical Variational Models
  8. Density estimation using Real NVP
  9. Graphical Models, Exponential Families, and Variational Inference
  10. Improving the Mean Field Approximation Via the Use of Mixture Distributions

Their papers