NIPS Proceedingsβ

Volkan Cevher

15 Papers

  • Fixed-Rank Approximation of a Positive-Semidefinite Matrix from Streaming Data (2017)
  • Phase Transitions in the Pooled Data Problem (2017)
  • Smooth Primal-Dual Coordinate Descent Algorithms for Nonsmooth Convex Optimization (2017)
  • Streaming Robust Submodular Maximization: A Partitioned Thresholding Approach (2017)
  • An Efficient Streaming Algorithm for the Submodular Cover Problem (2016)
  • Stochastic Three-Composite Convex Minimization (2016)
  • Truncated Variance Reduction: A Unified Approach to Bayesian Optimization and Level-Set Estimation (2016)
  • A Universal Primal-Dual Convex Optimization Framework (2015)
  • Preconditioned Spectral Descent for Deep Learning (2015)
  • Constrained convex minimization via model-based excessive gap (2014)
  • Time--Data Tradeoffs by Aggressive Smoothing (2014)
  • High-Dimensional Gaussian Process Bandits (2013)
  • Active Learning of Multi-Index Function Models (2012)
  • Learning with Compressible Priors (2009)
  • Sparse Signal Recovery Using Markov Random Fields (2008)