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Sanjeev Arora

  • 6933 Citations
  • 40 h-Index
1990 …2020

Research output per year

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Projects

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

    • Research Output

    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

    • 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

    • 6 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

    • 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

    • 1 Scopus citations

    Fine-grained analysis of optimization and generalization for overparameterized two-layer neural networks

    Arora, S., Du, S. S., Hu, W., Li, Z. & Wang, R., Jan 1 2019, 36th International Conference on Machine Learning, ICML 2019. International Machine Learning Society (IMLS), p. 477-502 26 p. (36th International Conference on Machine Learning, ICML 2019; vol. 2019-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

    • 1 Scopus citations