NIPS Proceedingsβ

John C. Duchi

16 Papers

  • Analysis of Krylov Subspace Solutions of Regularized Non-Convex Quadratic Problems (2018)
  • Generalizing to Unseen Domains via Adversarial Data Augmentation (2018)
  • Scalable End-to-End Autonomous Vehicle Testing via Rare-event Simulation (2018)
  • Unsupervised Transformation Learning via Convex Relaxations (2017)
  • Variance-based Regularization with Convex Objectives (2017)
  • Learning Kernels with Random Features (2016)
  • Local Minimax Complexity of Stochastic Convex Optimization (2016)
  • Stochastic Gradient Methods for Distributionally Robust Optimization with f-divergences (2016)
  • Asynchronous stochastic convex optimization: the noise is in the noise and SGD don't care (2015)
  • Communication-Efficient Algorithms for Statistical Optimization (2012)
  • Finite Sample Convergence Rates of Zero-Order Stochastic Optimization Methods (2012)
  • Privacy Aware Learning (2012)
  • Distributed Delayed Stochastic Optimization (2011)
  • Distributed Dual Averaging In Networks (2010)
  • Efficient Learning using Forward-Backward Splitting (2009)
  • Using Combinatorial Optimization within Max-Product Belief Propagation (2006)