Aarti Singh
Aarti Singh
Associate Professor of Machine Learning Department, Carnegie Mellon University
Verified email at cmu.edu
Title
Cited by
Cited by
Year
Gradient descent provably optimizes over-parameterized neural networks
SS Du, X Zhai, B Poczos, A Singh
arXiv preprint arXiv:1810.02054, 2018
4912018
Unlabeled data: Now it helps, now it doesn't
A Singh, R Nowak, X Zhu
Advances in Neural Information Processing Systems, 1513-1520, 2009
2422009
Decentralized compression and predistribution via randomized gossiping
M Rabbat, J Haupt, A Singh, R Nowak
Proceedings of the 5th international conference on Information processing in …, 2006
2042006
Confidence sets for persistence diagrams
BT Fasy, F Lecci, A Rinaldo, L Wasserman, S Balakrishnan, A Singh
The Annals of Statistics 42 (6), 2301-2339, 2014
1952014
Multi-manifold semi-supervised learning
AB Goldberg, X Zhu, A Singh, Z Xu, R Nowak
International Conference on Artificial Intelligence and Statistics, 169-176, 2009
1582009
Data Poisoning Attacks on Factorization-Based Collaborative Filtering
B Li, Y Wang, A Singh, Y Vorobeychik
Advances in Neural Information Processing Systems, 1885-1893, 2016
1562016
Gradient Descent Learns One-hidden-layer CNN: Don't be Afraid of Spurious Local Minima
SS Du, JD Lee, Y Tian, B Poczos, A Singh
arXiv preprint arXiv:1712.00779, 2017
1552017
Low-Rank Matrix and Tensor Completion via Adaptive Sampling
A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems, 836-844, 2013
1492013
Gradient descent can take exponential time to escape saddle points
SS Du, C Jin, JD Lee, MI Jordan, A Singh, B Poczos
Advances in neural information processing systems, 1067-1077, 2017
1392017
Active learning for adaptive mobile sensing networks
A Singh, R Nowak, P Ramanathan
Proceedings of the 5th international conference on Information processing in …, 2006
1162006
On the decreasing power of kernel and distance based nonparametric hypothesis tests in high dimensions
A Ramdas, SJ Reddi, B Póczos, A Singh, L Wasserman
Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015
1072015
Signal recovery on graphs: Fundamental limits of sampling strategies
S Chen, R Varma, A Singh, J Kovačević
IEEE Transactions on Signal and Information Processing over Networks 2 (4 …, 2016
1032016
Noise thresholds for spectral clustering
S Balakrishnan, M Xu, A Krishnamurthy, A Singh
Advances in Neural Information Processing Systems, 954-962, 2011
972011
Efficient Active Algorithms for Hierarchical Clustering
A Krishnamurthy, S Balakrishnan, M Xu, A Singh
Arxiv preprint arXiv:1206.4672, 2012
862012
Computationally Efficient Robust Sparse Estimation in High Dimensions
S Balakrishnan, SS Du, J Li, A Singh
Conference on Learning Theory, 169-212, 2017
812017
Adaptive hausdorff estimation of density level sets
A Singh, C Scott, R Nowak
The Annals of Statistics 37 (5B), 2760-2782, 2009
792009
Sparsistency of the edge lasso over graphs
J Sharpnack, A Singh, A Rinaldo
International Conference on Artificial Intelligence and Statistics, 1028-1036, 2012
752012
Distribution-Free Distribution Regression.
B Póczos, A Singh, A Rinaldo, LA Wasserman
AISTATS, 507-515, 2013
692013
Minimax localization of structural information in large noisy matrices
M Kolar, S Balakrishnan, A Rinaldo, A Singh
Advances in Neural Information Processing Systems, 909-917, 2011
662011
Active Clustering: Robust and Efficient Hierarchical Clustering using Adaptively Selected Similarities.
B Eriksson, G Dasarathy, A Singh, RD Nowak
AISTATS 8, 43-45, 2011
652011
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