NIPS Proceedingsβ

Robert E. Schapire

14 Papers

  • Improved Regret Bounds for Oracle-Based Adversarial Contextual Bandits (2016)
  • Efficient and Parsimonious Agnostic Active Learning (2015)
  • Fast Convergence of Regularized Learning in Games (2015)
  • A Drifting-Games Analysis for Online Learning and Applications to Boosting (2014)
  • A Reduction from Apprenticeship Learning to Classification (2010)
  • A Theory of Multiclass Boosting (2010)
  • Non-Stochastic Bandit Slate Problems (2010)
  • A Game-Theoretic Approach to Apprenticeship Learning (2007)
  • FilterBoost: Regression and Classification on Large Datasets (2007)
  • Convergence and Consistency of Regularized Boosting Algorithms with Stationary B-Mixing Observations (2005)
  • Correcting sample selection bias in maximum entropy density estimation (2005)
  • On the Dynamics of Boosting (2003)
  • A Generalization of Principal Components Analysis to the Exponential Family (2001)
  • Learning to Order Things (1997)