NIPS Proceedingsβ

Aarti Singh

14 Papers

  • Gradient Descent Can Take Exponential Time to Escape Saddle Points (2017)
  • Hypothesis Transfer Learning via Transformation Functions (2017)
  • Noise-Tolerant Interactive Learning Using Pairwise Comparisons (2017)
  • On the Power of Truncated SVD for General High-rank Matrix Estimation Problems (2017)
  • Data Poisoning Attacks on Factorization-Based Collaborative Filtering (2016)
  • Differentially private subspace clustering (2015)
  • Cluster Trees on Manifolds (2013)
  • Low-Rank Matrix and Tensor Completion via Adaptive Sampling (2013)
  • Minimax Theory for High-dimensional Gaussian Mixtures with Sparse Mean Separation (2013)
  • Near-optimal Anomaly Detection in Graphs using Lovasz Extended Scan Statistic (2013)
  • Minimax Localization of Structural Information in Large Noisy Matrices (2011)
  • Noise Thresholds for Spectral Clustering (2011)
  • Identifying graph-structured activation patterns in networks (2010)
  • Unlabeled data: Now it helps, now it doesn't (2008)