NIPS Proceedingsβ

Issei Sato

6 Papers

  • Lipschitz-Margin Training: Scalable Certification of Perturbation Invariance for Deep Neural Networks (2018)
  • Expectation Propagation for t-Exponential Family Using q-Algebra (2017)
  • On the Model Shrinkage Effect of Gamma Process Edge Partition Models (2017)
  • Differential Privacy without Sensitivity (2016)
  • Analysis of Variational Bayesian Latent Dirichlet Allocation: Weaker Sparsity Than MAP (2014)
  • Deterministic Single-Pass Algorithm for LDA (2010)