NIPS Proceedings
^{β}
Books
Aarti Singh
16 Papers
How Many Samples are Needed to Estimate a Convolutional Neural Network?
(2018)
Optimization of Smooth Functions with Noisy Observations: Local Minimax Rates
(2018)
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)