NIPS Proceedingsβ

Michalis Titsias RC AUEB

6 Papers

  • One-vs-Each Approximation to Softmax for Scalable Estimation of Probabilities (2016)
  • The Generalized Reparameterization Gradient (2016)
  • Inference for determinantal point processes without spectral knowledge (2015)
  • Local Expectation Gradients for Black Box Variational Inference (2015)
  • Hamming Ball Auxiliary Sampling for Factorial Hidden Markov Models (2014)
  • Variational Inference for Mahalanobis Distance Metrics in Gaussian Process Regression (2013)