Sanjeev Arora

Source: Scopus
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2 Active
5 Finished

Going beyond a black-box optimization view of deep learning
Arora, S.
Office of Naval Research - MA
4/7/20 → 4/6/23
Project: Research project
AF: Large: Collaborative Research: Nonconvex methods and models for learning: Toward algorithms with provable and interpretable guarantees
Arora, S.
NSF - National Science Foundation
6/1/17 → 5/31/22
Project: Research project
Unsupervised Learning with Provable Guarantees
Arora, S.
Office of Naval Research - MA
4/1/16 → 3/31/20
Project: Research project
AF: Small: Linear Algebra++ and Applications to Machine Learning
Arora, S.
NSF - National Science Foundation
6/15/15 → 5/31/19
Project: Research project
AF: Medium: Towards Provable Bounds for Machine Learning
Arora, S.
NSF - National Science Foundation
9/1/13 → 8/31/17
Project: Research project

7176 Citations
40 h-Index
40 Conference contribution
35 Article
17 Conference article
11 Paper
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A convergence analysis of gradient descent for deep linear neural networks
Arora, S., Golowich, N., Cohen, N. & Hu, W., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
A convergence analysis of gradient descent for deep linear neural networks
Arora, S., Golowich, N., Cohen, N. & Hu, W., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
13 Scopus citations
A simple but tough-to-beat baseline for sentence embeddings
Arora, S., Liang, Y. & Ma, T., Jan 1 2019.
Research output: Contribution to conference › Paper › peer-review
A theoretical analysis of contrastive unsupervised representation learning
Arora, S., Khandeparkar, H., Khodak, M., Plevrakis, O. & Saunshi, N., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 9904-9923 20 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
3 Scopus citations
Explaining landscape connectivity of low-cost solutions for multilayer nets
Kuditipudi, R., Wang, X., Lee, H., Zhang, Y., Li, Z., Hu, W., Arora, S. & Ge, R., 2019, In: Advances in Neural Information Processing Systems. 32
Research output: Contribution to journal › Conference article › peer-review
2 Scopus citations