NIPS Proceedingsβ

Dit-Yan Yeung

11 Papers

  • Collaborative Recurrent Autoencoder: Recommend while Learning to Fill in the Blanks (2016)
  • Natural-Parameter Networks: A Class of Probabilistic Neural Networks (2016)
  • Convolutional LSTM Network: A Machine Learning Approach for Precipitation Nowcasting (2015)
  • Learning a Deep Compact Image Representation for Visual Tracking (2013)
  • Co-Regularized Hashing for Multimodal Data (2012)
  • Probabilistic Multi-Task Feature Selection (2010)
  • Worst-Case Linear Discriminant Analysis (2010)
  • Probabilistic Relational PCA (2009)
  • Posterior Consistency of the Silverman g-prior in Bayesian Model Choice (2008)
  • An Environment Model for Nonstationary Reinforcement Learning (1999)
  • Predictive Q-Routing: A Memory-based Reinforcement Learning Approach to Adaptive Traffic Control (1995)