NIPS Proceedingsβ

Alekh Agarwal

13 Papers

  • Contextual semibandits via supervised learning oracles (2016)
  • Efficient Second Order Online Learning by Sketching (2016)
  • PAC Reinforcement Learning with Rich Observations (2016)
  • Efficient and Parsimonious Agnostic Active Learning (2015)
  • Fast Convergence of Regularized Learning in Games (2015)
  • Scalable Non-linear Learning with Adaptive Polynomial Expansions (2014)
  • Stochastic optimization and sparse statistical recovery: Optimal algorithms for high dimensions (2012)
  • Distributed Delayed Stochastic Optimization (2011)
  • Stochastic convex optimization with bandit feedback (2011)
  • Distributed Dual Averaging In Networks (2010)
  • Fast global convergence rates of gradient methods for high-dimensional statistical recovery (2010)
  • Information-theoretic lower bounds on the oracle complexity of convex optimization (2009)
  • An Analysis of Inference with the Universum (2007)