NIPS Proceedingsβ

Praneeth Netrapalli

7 Papers

  • Efficient Algorithms for Smooth Minimax Optimization (2019)
  • The Step Decay Schedule: A Near Optimal, Geometrically Decaying Learning Rate Procedure For Least Squares (2019)
  • Support Recovery for Orthogonal Matching Pursuit: Upper and Lower bounds (2018)
  • Provable Efficient Online Matrix Completion via Non-convex Stochastic Gradient Descent (2016)
  • Convergence Rates of Active Learning for Maximum Likelihood Estimation (2015)
  • Non-convex Robust PCA (2014)
  • Phase Retrieval using Alternating Minimization (2013)