NIPS Proceedingsβ

Hsiang-Fu Yu

6 Papers

  • AutoAssist: A Framework to Accelerate Training of Deep Neural Networks (2019)
  • Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series Forecasting (2019)
  • A Greedy Approach for Budgeted Maximum Inner Product Search (2017)
  • Asynchronous Parallel Greedy Coordinate Descent (2016)
  • Temporal Regularized Matrix Factorization for High-dimensional Time Series Prediction (2016)
  • Collaborative Filtering with Graph Information: Consistency and Scalable Methods (2015)