NIPS Proceedingsβ

Kohei Hayashi

7 Papers

  • Exploring Unexplored Tensor Network Decompositions for Convolutional Neural Networks (2019)
  • Fitting Low-Rank Tensors in Constant Time (2017)
  • On Tensor Train Rank Minimization : Statistical Efficiency and Scalable Algorithm (2017)
  • Minimizing Quadratic Functions in Constant Time (2016)
  • Factorized Asymptotic Bayesian Inference for Latent Feature Models (2013)
  • Weighted Likelihood Policy Search with Model Selection (2012)
  • Statistical Performance of Convex Tensor Decomposition (2011)