NIPS Proceedingsβ

Sivaraman Balakrishnan

8 Papers

  • How Many Samples are Needed to Estimate a Convolutional Neural Network? (2018)
  • Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates (2018)
  • Local Maxima in the Likelihood of Gaussian Mixture Models: Structural Results and Algorithmic Consequences (2016)
  • Statistical Inference for Cluster Trees (2016)
  • Cluster Trees on Manifolds (2013)
  • Optimal kernel choice for large-scale two-sample tests (2012)
  • Minimax Localization of Structural Information in Large Noisy Matrices (2011)
  • Noise Thresholds for Spectral Clustering (2011)