NIPS Proceedingsβ

Koby Crammer

19 Papers

  • Linear Multi-Resource Allocation with Semi-Bandit Feedback (2015)
  • Learning Multiple Tasks in Parallel with a Shared Annotator (2014)
  • Learning Multiple Tasks using Shared Hypotheses (2012)
  • Volume Regularization for Binary Classification (2012)
  • Learning via Gaussian Herding (2010)
  • New Adaptive Algorithms for Online Classification (2010)
  • Adaptive Regularization of Weight Vectors (2009)
  • Exact Convex Confidence-Weighted Learning (2008)
  • Learning Bounds for Domain Adaptation (2007)
  • Analysis of Representations for Domain Adaptation (2006)
  • Learning from Multiple Sources (2006)
  • Learning from Data of Variable Quality (2005)
  • A Temporal Kernel-Based Model for Tracking Hand Movements from Neural Activities (2004)
  • Online Classification on a Budget (2003)
  • Online Passive-Aggressive Algorithms (2003)
  • Kernel Design Using Boosting (2002)
  • Margin Analysis of the LVQ Algorithm (2002)
  • Pranking with Ranking (2001)
  • Improved Output Coding for Classification Using Continuous Relaxation (2000)