NIPS Proceedingsβ

Daniel J. Hsu

14 Papers

  • A Spectral Algorithm for Latent Dirichlet Allocation (2012)
  • Identifiability and Unmixing of Latent Parse Trees (2012)
  • Learning Mixtures of Tree Graphical Models (2012)
  • Monte Carlo Value Iteration with Macro-Actions (2011)
  • Spectral Methods for Learning Multivariate Latent Tree Structure (2011)
  • Stochastic convex optimization with bandit feedback (2011)
  • Agnostic Active Learning Without Constraints (2010)
  • A Parameter-free Hedging Algorithm (2009)
  • Multi-Label Prediction via Compressed Sensing (2009)
  • A general agnostic active learning algorithm (2007)
  • Bayesian Agglomerative Clustering with Coalescents (2007)
  • What makes some POMDP problems easy to approximate? (2007)
  • Adaptive Quantization and Density Estimation in Silicon (2002)
  • Field-Programmable Learning Arrays (2002)