NIPS Proceedingsβ

Thomas Hofmann

13 Papers

  • Adaptive Newton Method for Empirical Risk Minimization to Statistical Accuracy (2016)
  • Variance Reduced Stochastic Gradient Descent with Neighbors (2015)
  • Communication-Efficient Distributed Dual Coordinate Ascent (2014)
  • Semi-supervised Learning on Directed Graphs (2004)
  • Multiple Instance Learning via Disjunctive Programming Boosting (2003)
  • Discriminative Learning for Label Sequences via Boosting (2002)
  • Support Vector Machines for Multiple-Instance Learning (2002)
  • The Missing Link - A Probabilistic Model of Document Content and Hypertext Connectivity (2000)
  • Learning the Similarity of Documents: An Information-Geometric Approach to Document Retrieval and Categorization (1999)
  • Learning from Dyadic Data (1998)
  • Active Data Clustering (1997)
  • Multidimensional Scaling and Data Clustering (1994)
  • Central and Pairwise Data Clustering by Competitive Neural Networks (1993)