NIPS Proceedingsβ

Dino Sejdinovic

9 Papers

  • Causal Inference via Kernel Deviance Measures (2018)
  • Hamiltonian Variational Auto-Encoder (2018)
  • Variational Learning on Aggregate Outputs with Gaussian Processes (2018)
  • Testing and Learning on Distributions with Symmetric Noise Invariance (2017)
  • Fast Two-Sample Testing with Analytic Representations of Probability Measures (2015)
  • Gradient-free Hamiltonian Monte Carlo with Efficient Kernel Exponential Families (2015)
  • A Wild Bootstrap for Degenerate Kernel Tests (2014)
  • A Kernel Test for Three-Variable Interactions (2013)
  • Optimal kernel choice for large-scale two-sample tests (2012)