NIPS Proceedingsβ

Roger B. Grosse

11 Papers

  • Don't Blame the ELBO! A Linear VAE Perspective on Posterior Collapse (2019)
  • Fast Convergence of Natural Gradient Descent for Over-Parameterized Neural Networks (2019)
  • Preventing Gradient Attenuation in Lipschitz Constrained Convolutional Networks (2019)
  • Which Algorithmic Choices Matter at Which Batch Sizes? Insights From a Noisy Quadratic Model (2019)
  • Isolating Sources of Disentanglement in Variational Autoencoders (2018)
  • Reversible Recurrent Neural Networks (2018)
  • Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (2017)
  • The Reversible Residual Network: Backpropagation Without Storing Activations (2017)
  • Measuring the reliability of MCMC inference with bidirectional Monte Carlo (2016)
  • Learning Wake-Sleep Recurrent Attention Models (2015)
  • Annealing between distributions by averaging moments (2013)