NIPS Proceedingsβ

Joachim M. Buhmann

6 Papers

  • Continuous DR-submodular Maximization: Structure and Algorithms (2017)
  • Efficient and Flexible Inference for Stochastic Systems (2017)
  • Scalable Variational Inference for Dynamical Systems (2017)
  • Scalable Adaptive Stochastic Optimization Using Random Projections (2016)
  • Fast and Robust Least Squares Estimation in Corrupted Linear Models (2014)
  • Correlated random features for fast semi-supervised learning (2013)