NIPS Proceedingsβ

Ryota Tomioka

10 Papers

  • QSGD: Communication-Efficient SGD via Gradient Quantization and Encoding (2017)
  • f-GAN: Training Generative Neural Samplers using Variational Divergence Minimization (2016)
  • Interpolating Convex and Non-Convex Tensor Decompositions via the Subspace Norm (2015)
  • Multitask learning meets tensor factorization: task imputation via convex optimization (2014)
  • Convex Tensor Decomposition via Structured Schatten Norm Regularization (2013)
  • Perfect Dimensionality Recovery by Variational Bayesian PCA (2012)
  • Statistical Performance of Convex Tensor Decomposition (2011)
  • Global Analytic Solution for Variational Bayesian Matrix Factorization (2010)
  • Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer Interfacing (2007)
  • Logistic Regression for Single Trial EEG Classification (2006)