NIPS Proceedingsβ

Daniel J. Hsu

6 Papers

  • Efficient and Parsimonious Agnostic Active Learning (2015)
  • Mixing Time Estimation in Reversible Markov Chains from a Single Sample Path (2015)
  • Scalable Non-linear Learning with Adaptive Polynomial Expansions (2014)
  • The Large Margin Mechanism for Differentially Private Maximization (2014)
  • Contrastive Learning Using Spectral Methods (2013)
  • When are Overcomplete Topic Models Identifiable? Uniqueness of Tensor Tucker Decompositions with Structured Sparsity (2013)