Eitan Tzelgov

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 Eitan Tzelgov trusts

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

  1. Andrew Gelman (in Probabilistic & Bayesian Methods)

Papers from Eitan Tzelgov's perspective

Ordered by how strongly the researchers Eitan Tzelgov 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. Density estimation using Real NVP
  6. The Variational Gaussian Process
  7. Weight Uncertainty in Neural Networks
  8. Hierarchical Variational Models
  9. Learning the parts of objects by non-negative matrix factorization
  10. Expectation-Propogation for the Generative Aspect Model (Conference on Uncertainty in Artificial Intelligence)

Their papers